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Udacity - Deep Learning Foundation Nanodegree [Course Drive]

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Udacity - Deep Learning Foundation Nanodegree [Course Drive] (Size: 5.55 GB)
  Course Downloaded from coursedrive.net.txt 428 B
  Udacity - Deep Learning Foundation v1.0.0
  Course Downloaded from coursedrive.net.txt 428 B
  Part 01-Module 01-Lesson 01_Welcome
  01. Welcome to the Deep Learning Nanodegree Foundations.html 5.54 KB
  01. Welcome-PdPdogFHnvE.en.vtt 2.37 KB
  01. Welcome-PdPdogFHnvE.mp4 17.58 MB
  01. Welcome-PdPdogFHnvE.pt-BR.vtt 1.97 KB
  01. Welcome-PdPdogFHnvE.zh-CN.vtt 1.88 KB
  02. Projects You Will Build .html 7.29 KB
  02. Projects You Will Build-yDPuDuCMST8.en.vtt 2.59 KB
  02. Projects You Will Build-yDPuDuCMST8.mp4 8.9 MB
  03. Meet Your Instructors -EcP0U4720sA.en-US.vtt 2.01 KB
  03. Meet Your Instructors -EcP0U4720sA.en.vtt 1.97 KB
  03. Meet Your Instructors -EcP0U4720sA.mp4 13.34 MB
  03. Meet Your Instructors -EcP0U4720sA.pt-BR.vtt 1.93 KB
  03. Meet Your Instructors -EcP0U4720sA.zh-CN.vtt 1.94 KB
  03. Meet Your Instructors.html 6.01 KB
  04. The First Week.html 6.95 KB
  04. The first week-krK-TcGoYUI.en-US.vtt 1.22 KB
  04. The first week-krK-TcGoYUI.mp4 7.07 MB
  04. The first week-krK-TcGoYUI.pt-BR.vtt 1.22 KB
  04. The first week-krK-TcGoYUI.zh-CN.vtt 1.06 KB
  05. Prerequisites.html 6.01 KB
  06. Community Support.html 12.22 KB
  07. Deadline Policy.html 16.21 KB
  08. We Value Your Feedback-Dl23R0YCQ0U.en-US.vtt 1 KB
  08. We Value Your Feedback-Dl23R0YCQ0U.mp4 6.85 MB
  08. We Value Your Feedback-Dl23R0YCQ0U.pt-BR.vtt 985 B
  08. We Value Your Feedback-Dl23R0YCQ0U.zh-CN.vtt 937 B
  08. We Value Your Feedback.html 5.88 KB
  09. Getting Set Up.html 5.89 KB
  09. Getting-Setup-1SuxTnuQkeE.en.vtt 1.34 KB
  09. Getting-Setup-1SuxTnuQkeE.mp4 6.57 MB
  09. Getting-Setup-1SuxTnuQkeE.pt-BR.vtt 1.31 KB
  09. Getting-Setup-1SuxTnuQkeE.zh-CN.vtt 1.29 KB
  img
  review-example.png 362.83 KB
  screen-shot-2017-01-26-at-2.51.02-pm.png 302.55 KB
  screen-shot-2017-01-26-at-3.29.37-pm.png 389 KB
  view.png 22.39 KB
  index.html 4.12 KB
  Part 01-Module 01-Lesson 02_Anaconda
  01. Instructor.html 5.7 KB
  02. Introduction.html 6.11 KB
  02. Why Anaconda-VXukXZv7SCQ.ar.vtt 4.95 KB
  02. Why Anaconda-VXukXZv7SCQ.en.vtt 3.44 KB
  02. Why Anaconda-VXukXZv7SCQ.mp4 10.29 MB
  02. Why Anaconda-VXukXZv7SCQ.pt-BR.vtt 3.23 KB
  02. Why Anaconda-VXukXZv7SCQ.zh-CN.vtt 3.52 KB
  03. What is Anaconda.html 10.57 KB
  04. Installing Anaconda.html 7.65 KB
  05. Managing packages.html 8.33 KB
  06. Managing environments.html 8.71 KB
  07. More environment actions.html 7.15 KB
  08. Best practices.html 6.91 KB
  09. On Python versions at Udacity.html 7.05 KB
  img
  conda-create-env.png 70.79 KB
  conda-env-export.png 64.05 KB
  conda-install.png 81.15 KB
  conda-search.png 430.84 KB
  screen-shot-2018-03-19-at-2.49.57-pm.png 442.46 KB
  index.html 4.06 KB
  media
  conda_default_install.mp4 595.3 KB
  conda_enter.mp4 97.26 KB
  conda_install.mp4 201.72 KB
  Part 01-Module 01-Lesson 03_Jupyter Notebooks
  01. Instructor.html 5.87 KB
  02. Jupyter-qiYDWFLyXvg.ar.vtt 3.41 KB
  02. Jupyter-qiYDWFLyXvg.en.vtt 2.7 KB
  02. Jupyter-qiYDWFLyXvg.mp4 7.12 MB
  02. Jupyter-qiYDWFLyXvg.pt-BR.vtt 2.41 KB
  02. Jupyter-qiYDWFLyXvg.zh-CN.vtt 2.64 KB
  02. What are Jupyter notebooks.html 12.27 KB
  03. Installing Jupyter Notebook.html 5.8 KB
  04. Launching the notebook server.html 10.69 KB
  05. Notebook interface.html 9.41 KB
  06. Code cells.html 6.07 KB
  07. Markdown cells.html 9.52 KB
  08. Keyboard shortcuts.html 5.92 KB
  09. Magic keywords.html 9.91 KB
  10. Converting notebooks.html 7.04 KB
  11. Creating a slideshow.html 7.87 KB
  12. Finishing up.html 5.76 KB
  img
  conda-environments.png 40.09 KB
  conda-tab.png 109.92 KB
  magic-matplotlib.png 90.72 KB
  magic-pdb.png 68.61 KB
  magic-timeit.png 157.29 KB
  magic-timeit2.png 56.11 KB
  nbconvert-example.png 73.3 KB
  new-notebook.png 101.77 KB
  notebook-components.png 30.25 KB
  notebook-download.png 79.54 KB
  notebook-json.png 95.29 KB
  notebook-server.png 103.33 KB
  notebook-shutdown.png 62.35 KB
  screen-shot-2018-03-19-at-2.49.57-pm.png 442.46 KB
  server-shutdown.png 155.42 KB
  slides-cell-toolbar-menu.png 61.36 KB
  slides-choose-slide-type.png 53.31 KB
  index.html 4.31 KB
  media
  Markdown+cells.mp4 330.36 KB
  command+palette.mp4 169.16 KB
  notebook+interface.mp4 215.47 KB
  Part 01-Module 01-Lesson 04_Applying Deep Learning
  01. Introduction.html 5.36 KB
  02. Style Transfer.html 12.09 KB
  03. DeepTraffic.html 6.33 KB
  03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en-US.vtt 7.75 KB
  03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.en.vtt 7.35 KB
  03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.mp4 38.12 MB
  03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.pt-BR.vtt 7.59 KB
  03. Traffic Navigation with Deep Reinforcement Learning-az5ElmV4DhY.zh-CN.vtt 7.39 KB
  04. Flappy Bird.html 6.75 KB
  05. Books to Read.html 5.9 KB
  img
  chi-waves.png 823.61 KB
  flappy-bird.jpg?042148 76.23 KB
  grokking-deep-learning.jpg?042148 69.52 KB
  mat-headshot.png 179.99 KB
  index.html 3.73 KB
  Part 01-Module 02-Lesson 01_Regression
  01. Welcome to Week One-10M2DnJuziE.en-US.vtt 756 B
  01. Welcome to Week One-10M2DnJuziE.mp4 4.22 MB
  01. Welcome to Week One-10M2DnJuziE.pt-BR.vtt 719 B
  01. Welcome to Week One-10M2DnJuziE.zh-CN.vtt 670 B
  01. Welcome to Week One.html 5.39 KB
  02. Preparing for Siraj's video.html 6.29 KB
  03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.en.vtt 15.64 KB
  03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.mp4 63.46 MB
  03. Siraj's Intro to Deep Learning - How to Make a Prediction-QN1ZwKszguE.pt.vtt 13.49 KB
  03. Siraj's Intro to Deep Learning.html 5.69 KB
  04. Linear Regression.html 15.58 KB
  05. Linear Regression Warnings.html 7.15 KB
  06. Multiple Linear Regression.html 12.05 KB
  07. Siraj's Live Session.html 6.02 KB
  img
  just-a-2d-reg.png 68.49 KB
  just-a-simple-lin-reg.png 25.95 KB
  lin-reg-no-outliers.png 28.61 KB
  lin-reg-w-outliers.png 27.55 KB
  quadraticlinearregression.png 23.56 KB
  index.html 4.02 KB
  Part 01-Module 03-Lesson 01_Matrix Math and NumPy Refresher
  01. Introduction.html 5.93 KB
  02. Data Dimensions.html 5.76 KB
  02. Data Has Dimensions-F4NSv776X0c.en.vtt 8.66 KB
  02. Data Has Dimensions-F4NSv776X0c.mp4 10.61 MB
  02. Data Has Dimensions-F4NSv776X0c.pt-BR.vtt 8.8 KB
  02. Data Has Dimensions-F4NSv776X0c.zh-CN.vtt 7.59 KB
  03. Data in NumPy.html 13.36 KB
  04. Element-wise Matrix Operations-vjUykZyzko4.en.vtt 4.24 KB
  04. Element-wise Matrix Operations-vjUykZyzko4.mp4 4.03 MB
  04. Element-wise Matrix Operations-vjUykZyzko4.pt-BR.vtt 4.32 KB
  04. Element-wise Matrix Operations-vjUykZyzko4.zh-CN.vtt 3.97 KB
  04. Element-wise Matrix Operations.html 5.84 KB
  05. Element-wise Operations in NumPy.html 9.17 KB
  06. Matrix Multiplication Part 1-JRoCFQRP4B0.en.vtt 7.95 KB
  06. Matrix Multiplication Part 1-JRoCFQRP4B0.mp4 5.89 MB
  06. Matrix Multiplication Part 1-JRoCFQRP4B0.pt-BR.vtt 7.91 KB
  06. Matrix Multiplication Part 1-JRoCFQRP4B0.zh-CN.vtt 7.72 KB
  06. Matrix Multiplication Part 1.html 6.06 KB
  07. Matrix Multiplication Part 2-8jtk8BzBdj8.en.vtt 9.88 KB
  07. Matrix Multiplication Part 2-8jtk8BzBdj8.mp4 7.34 MB
  07. Matrix Multiplication Part 2-8jtk8BzBdj8.pt-BR.vtt 9.31 KB
  07. Matrix Multiplication Part 2-8jtk8BzBdj8.zh-CN.vtt 8.61 KB
  07. Matrix Multiplication Part 2.html 7.05 KB
  08. NumPy Matrix Multiplication.html 8.67 KB
  09. Matrix Transposes-NVK5xCY3CZE.en-US.vtt 11.81 KB
  09. Matrix Transposes-NVK5xCY3CZE.mp4 9.09 MB
  09. Matrix Transposes-NVK5xCY3CZE.pt-BR.vtt 11.08 KB
  09. Matrix Transposes-NVK5xCY3CZE.zh-CN.vtt 10.35 KB
  09. Matrix Transposes.html 5.76 KB
  10. Transposes in NumPy.html 9.18 KB
  11. NumPy Quiz.html 10.47 KB
  img
  input-times-weights.png 51.82 KB
  index.html 4.33 KB
  Part 01-Module 03-Lesson 02_Intro to Neural Networks
  01. Introducing Luis-nto-stLuN6M.en-US.vtt 608 B
  01. Introducing Luis-nto-stLuN6M.mp4 3.63 MB
  01. Introducing Luis-nto-stLuN6M.pt-BR.vtt 592 B
  01. Introducing Luis-nto-stLuN6M.zh-CN.vtt 535 B
  01. Introducing Luis.html 6.38 KB
  02. Logistic Regression - Question-kSs6O3R7JUI.en-US.vtt 2.29 KB
  02. Logistic Regression - Question-kSs6O3R7JUI.mp4 3.45 MB
  02. Logistic Regression - Question-kSs6O3R7JUI.pt-BR.vtt 2.01 KB
  02. Logistic Regression - Question-kSs6O3R7JUI.zh-CN.vtt 1.82 KB
  02. Logistic Regression Quiz.html 7.29 KB
  03. Logistic Regression - Solution-1iNylA3fJDs.en-US.vtt 5.97 KB
  03. Logistic Regression - Solution-1iNylA3fJDs.mp4 7.36 MB
  03. Logistic Regression - Solution-1iNylA3fJDs.pt-BR.vtt 5.99 KB
  03. Logistic Regression - Solution-1iNylA3fJDs.zh-CN.vtt 5.2 KB
  03. Logistic Regression Answer.html 6.46 KB
  04. Neural Networks-Mqogpnp1lrU.en.vtt 10.19 KB
  04. Neural Networks-Mqogpnp1lrU.mp4 14.92 MB
  04. Neural Networks-Mqogpnp1lrU.pt-BR.vtt 9.75 KB
  04. Neural Networks-Mqogpnp1lrU.zh-CN.vtt 9.06 KB
  04. Neural Networks.html 6.36 KB
  05. Perceptron.html 21.63 KB
  06. AND Perceptron Quiz.html 10.2 KB
  07. OR NOT Perceptron Quiz.html 10.63 KB
  08. XOR Perceptron Quiz.html 9.97 KB
  09. The Simplest Neural Network.html 13.39 KB
  10. Gradient Descent-29PmNG7fuuM.en.vtt 1.6 KB
  10. Gradient Descent-29PmNG7fuuM.mp4 2.46 MB
  10. Gradient Descent-29PmNG7fuuM.pt-BR.vtt 1.52 KB
  10. Gradient Descent-29PmNG7fuuM.zh-CN.vtt 1.41 KB
  10. Gradient Descent.html 13.44 KB
  11. Gradient Descent The Math.html 6.74 KB
  11. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt 10.81 KB
  11. Gradient Descent-Math-7sxA5Ap8AWM.mp4 11.25 MB
  11. Gradient Descent-Math-7sxA5Ap8AWM.pt-BR.vtt 10.84 KB
  11. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt 9.46 KB
  12. Gradient Descent The Code.html 11.57 KB
  13. Implementing Gradient Descent.html 27.47 KB
  14. Multilayer Perceptrons.html 21.8 KB
  14. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt 1.65 KB
  14. Multilayer perceptrons-Rs9petvTBLk.mp4 2.85 MB
  14. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt 1.71 KB
  14. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt 1.39 KB
  15. Backpropagation-MZL97-2joxQ.en-US.vtt 2.42 KB
  15. Backpropagation-MZL97-2joxQ.mp4 3.44 MB
  15. Backpropagation-MZL97-2joxQ.pt-BR.vtt 2.41 KB
  15. Backpropagation-MZL97-2joxQ.zh-CN.vtt 2.14 KB
  15. Backpropagation.html 20.18 KB
  16. Implementing Backpropagation.html 22.24 KB
  17. Further Reading.html 6.57 KB
  img
  a-b-c-fill-nn.png 305.51 KB
  admissions-data.png 118.38 KB
  and-table.png 69.13 KB
  backprop-error.gif 2.93 KB
  backprop-general.gif 2.2 KB
  backprop-network.png 13.07 KB
  backprop-weight-update.gif 1.68 KB
  codecogseqn-2.png 2.26 KB
  derivative-example.png 55.08 KB
  example-after-bias.png 65.72 KB
  example-before-bias.png 36.91 KB
  example-data.png 92.11 KB
  gradient-descent.png 71.96 KB
  heaviside-step-function-2.gif 3.29 KB
  heaviside-step-graph-2.png 26.27 KB
  hidden-errors.gif 2.8 KB
  hidden-layer-weights.gif 1.75 KB
  hq-new-and-or-percep-fixed.png 92.57 KB
  hq-new-plot-perceptron-combine-v2.png 200.83 KB
  hq-new-plot-perceptron-combine.png 224.89 KB
  hq-new-xor-table.png 38.62 KB
  hq-perceptron.png 115.94 KB
  input-times-weights.png 51.82 KB
  inputs-matrix.png 5.61 KB
  legend.png 102.05 KB
  local-minima.png 38.08 KB
  logistic-regression-quiz.png 984.45 KB
  mat-headshot.png 179.99 KB
  matrix-mult-3.png 78.97 KB
  mse.png 3.21 KB
  multilayer-diagram-weights.png 48.57 KB
  network-with-labeled-nodes.png 52 KB
  network-with-labeled-weights.png 59.44 KB
  perceptron-equation-2.gif 6.08 KB
  perceptron-formula.gif 5.77 KB
  perceptron-graphics.001.jpeg 232.64 KB
  sigmoid.png 27.73 KB
  simple-neuron.png 49.12 KB
  weight-label-reference.gif 2.83 KB
  index.html 4.8 KB
  Part 01-Module 03-Lesson 03_Your first neural network
  01. Introduction to the Project-dOwEDeJp8yw.en.vtt 2.35 KB
  01. Introduction to the Project-dOwEDeJp8yw.mp4 6.23 MB
  01. Introduction to the Project-dOwEDeJp8yw.pt-BR.vtt 2.02 KB
  01. Introduction to the Project-dOwEDeJp8yw.zh-CN.vtt 2.33 KB
  01. Introduction to the Project.html 5.05 KB
  Project Description - Your first neural network.html 9.73 KB
  Project Rubric - Your first neural network.html 8.5 KB
  index.html 3.75 KB
  media
  Screen+Shot+2017-01-27+at+11.38.54+AM.png 55.1 KB
  Part 02-Module 01-Lesson 01_Model Evaluation and Validation
  01. Introduction.html 6.04 KB
  02. Testing-gmxGRJSKEb0.en-US.vtt 7.63 KB
  02. Testing-gmxGRJSKEb0.mp4 5.63 MB
  02. Testing-gmxGRJSKEb0.pt-BR.vtt 7.34 KB
  02. Testing-gmxGRJSKEb0.zh-CN.vtt 6.75 KB
  02. Testing.html 5.28 KB
  03. Confusion Matrix-Question-9GLNjmMUB_4.en-US.vtt 5.52 KB
  03. Confusion Matrix-Question-9GLNjmMUB_4.en.vtt 5.71 KB
  03. Confusion Matrix-Question-9GLNjmMUB_4.mp4 5.04 MB
  03. Confusion Matrix-Question-9GLNjmMUB_4.pt-BR.vtt 4.76 KB
  03. Confusion Matrix-Question-9GLNjmMUB_4.zh-CN.vtt 4.96 KB
  03. Confusion Matrix.html 6.7 KB
  04. Accuracy Question-AmFoZTf-Hb0.en.vtt 1.69 KB
  04. Accuracy Question-AmFoZTf-Hb0.mp4 1.64 MB
  04. Accuracy.html 6 KB
  05. Regression Metrics.html 5.36 KB
  05. Regression-Metrics-906P4BPnl9A.en-US.vtt 4.23 KB
  05. Regression-Metrics-906P4BPnl9A.mp4 3.35 MB
  05. Regression-Metrics-906P4BPnl9A.pt-BR.vtt 3.93 KB
  05. Regression-Metrics-906P4BPnl9A.zh-CN.vtt 3.62 KB
  06. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt 6.89 KB
  06. 04 L Types Of Errors-Twf1qnPZeSY.mp4 6.55 MB
  06. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt 6.23 KB
  06. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt 6.02 KB
  06. Types of Errors.html 5.36 KB
  07. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt 3.32 KB
  07. Model Complexity Graph-Question-YS5OQCA5cLY.mp4 5.41 MB
  07. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt 3.12 KB
  07. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt 3.03 KB
  07. Model Complexity Graph.html 7.13 KB
  07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt 6.11 KB
  07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4 9.23 MB
  07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt 5.74 KB
  07. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt 5.23 KB
  08. K Fold Cross Validation-dRtgSJgSt_I.en-US.vtt 1.99 KB
  08. K Fold Cross Validation-dRtgSJgSt_I.mp4 2.79 MB
  08. K Fold Cross Validation-dRtgSJgSt_I.pt-BR.vtt 1.99 KB
  08. K Fold Cross Validation-dRtgSJgSt_I.zh-CN.vtt 1.83 KB
  08. K-Fold Cross Validation.html 5.39 KB
  img
  accuracy.png 179.27 KB
  complexity.png 95.64 KB
  confusion.png 188.85 KB
  meme.png 209.05 KB
  index.html 3.99 KB
  Part 02-Module 02-Lesson 01_Sentiment Analysis with Andrew Trask
  01. Introducing Andrew Trask-U3PqQF-8qyI.en.vtt 1.27 KB
  01. Introducing Andrew Trask-U3PqQF-8qyI.mp4 10.79 MB
  01. Introducing Andrew Trask-U3PqQF-8qyI.pt-BR.vtt 1.42 KB
  01. Introducing Andrew Trask-U3PqQF-8qyI.zh-CN.vtt 1.18 KB
  01. Introducing Andrew Trask.html 7.27 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt 5.42 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.mp4 23.76 MB
  02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt 3.68 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt 4.94 KB
  02. Meet Andrew.html 7.24 KB
  03. Materials.html 8.88 KB
  04. Framing the Problem-IsTOnkAKaJw.en.vtt 8.81 KB
  04. Framing the Problem-IsTOnkAKaJw.mp4 17.65 MB
  04. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt 7.85 KB
  04. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt 8.31 KB
  04. Framing the Problem.html 6.93 KB
  05. Mini Project 1.html 7.49 KB
  06. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt 8.83 KB
  06. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.79 MB
  06. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt 7.59 KB
  06. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt 8.85 KB
  06. Mini Project 1 Solution.html 7.22 KB
  07. Transforming Text into Numbers-7rHBU5cbePE.en.vtt 5.04 KB
  07. Transforming Text into Numbers-7rHBU5cbePE.mp4 6.64 MB
  07. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt 4.24 KB
  07. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt 4.34 KB
  07. Transforming Text into Numbers.html 7.01 KB
  08. Mini Project 2.html 9.4 KB
  09. Mini Project 2 Solution-45ihpPaeO8E.en.vtt 5.12 KB
  09. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.22 MB
  09. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt 3.95 KB
  09. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt 4.56 KB
  09. Mini Project 2 Solution.html 7.22 KB
  10. Building a Neural Network-aM2k7RTjjJI.en.vtt 3.3 KB
  10. Building a Neural Network-aM2k7RTjjJI.mp4 10.17 MB
  10. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt 2.88 KB
  10. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt 2.88 KB
  10. Building a Neural Network.html 6.97 KB
  11. Mini Project 3.html 8.45 KB
  12. Mini Project 3 Solution-imnxzCev4SI.en.vtt 18.48 KB
  12. Mini Project 3 Solution-imnxzCev4SI.mp4 54.58 MB
  12. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt 15.8 KB
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  12. Mini Project 3 Solution.html 7.22 KB
  13. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt 15.63 KB
  13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 50.21 MB
  13. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt 13.69 KB
  13. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt 13.47 KB
  13. Understanding Neural Noise.html 6.98 KB
  14. Mini Project 4.html 7.56 KB
  15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt 9.3 KB
  15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 20.67 MB
  15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt 7.84 KB
  15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt 8.2 KB
  15. Understanding Inefficiencies in our Network.html 7.09 KB
  16. Mini Project 5.html 8.36 KB
  17. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.55 KB
  17. Mini Project 5 Solution-Hv86B_jjWTI.mp4 28.86 MB
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  18. Further Noise Reduction.html 6.96 KB
  19. Mini Project 6.html 8.52 KB
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  20. Mini Project 6 Solution-ji0famK7gOQ.mp4 39.15 MB
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  22. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.73 KB
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  Part 02-Module 02-Lesson 02_Intro to TFLearn
  01. Welcome to this lesson!.html 6.24 KB
  02. ReLU and Softmax Activation Functions.html 14.29 KB
  03. Categorical Cross-Entropy.html 8.58 KB
  04. Sentiment Analysis with TFLearn.html 8.88 KB
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  04. TFLearn-YF7S6hi4bnc.mp4 11.77 MB
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  06. Handwritten Digit Recognition.html 9.34 KB
  07. Handwritten Digit Recognition Solution.html 6.74 KB
  img
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  Part 02-Module 02-Lesson 03_Preparing for Siraj's Lesson
  01. Introduction.html 5.31 KB
  02. Bag of Words.html 7.83 KB
  03. Converting Documents to Vectors.html 7.98 KB
  04. Word2vec.html 9.01 KB
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  Part 02-Module 03-Lesson 01_MiniFlow
  01. Miniflow Introduction-Nqp_UifEwt0.en-US.vtt 1.19 KB
  01. Miniflow Introduction-Nqp_UifEwt0.mp4 8.04 MB
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  01. Welcome to MiniFlow.html 6.02 KB
  02. Graphs.html 10.11 KB
  03. MiniFlow Architecture.html 10.25 KB
  04. Forward Propagation.html 14.99 KB
  05. Forward Propagation Solution.html 13.17 KB
  06. Learning and Loss.html 13.29 KB
  07. Linear Transform.html 19.41 KB
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  07. Pixels are Features!-qE5YYXtPq9U.mp4 1.06 MB
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  08. Sigmoid Function.html 17.29 KB
  09. Cost.html 17.73 KB
  10. Cost Solution.html 7.2 KB
  11. Gradient Descent.html 11.8 KB
  12. Backpropagation.html 36.1 KB
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  14. SGD Solution.html 19.52 KB
  15. Outro.html 6.2 KB
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  media
  input-to-output-2.mp4 172.03 KB
  Part 02-Module 04-Lesson 01_Cloud Computing
  01. Overview.html 6.47 KB
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  04. Apply Credits.html 6.63 KB
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  Part 02-Module 04-Lesson 02_Intro to TensorFlow
  01. Intro to Vincent .html 7.65 KB
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  02. What Is Deep Learning-INt1nULYPak.pt-BR.vtt 1.36 KB
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  03. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt 2.47 KB
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  04. Let'S Get Started-ySIDqaXLhHw.en.vtt 1.26 KB
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  04. Let's Get Started .html 7.68 KB
  05. Installing TensorFlow.html 10.1 KB
  06. Hello, Tensor World!.html 10.24 KB
  07. Transition to Classification.html 8.9 KB
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  08. Supervised Classification.html 7.71 KB
  09. Training Your Logistic Classifier .html 7.77 KB
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  10. Quiz TensorFlow Linear Function.html 23.16 KB
  11. ReLU and Softmax Activation Functions.html 16.51 KB
  12. Quiz TensorFlow Softmax.html 10.49 KB
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  13. One-Hot Encoding.html 8.75 KB
  14. Categorical Cross-Entropy.html 10.8 KB
  15. Quiz TensorFlow Cross Entropy.html 10.86 KB
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  18. Numerical Stability-_SbGcOS-jcQ.en-US.vtt 764 B
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  21. Optimizing a Logistic Classifier.html 7.79 KB
  22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.en.vtt 4.11 KB
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  22. Stochastic Gradient Descent.html 7.75 KB
  23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt 2.36 KB
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  24. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt 2.3 KB
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  24. Parameter Hyperspace .html 7.71 KB
  25. Quiz Mini-batch.html 27.14 KB
  26. Epochs.html 14.71 KB
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  img
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  media
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  Part 02-Module 05-Lesson 01_Deep Neural Networks
  01. Intro to Deep Neural Networks.html 5.83 KB
  01. Mat HS-9P7UPWFu8w8.en-US.vtt 1.55 KB
  01. Mat HS-9P7UPWFu8w8.mp4 8.48 MB
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  02. Two-Layer Neural Network.html 6.41 KB
  03. Quiz TensorFlow ReLUs.html 9.41 KB
  04. Deep Neural Network in TensorFlow.html 11.57 KB
  05. Training a Deep Learning Network-CsB7yUtMJyk.en.vtt 2.07 KB
  05. Training a Deep Learning Network-CsB7yUtMJyk.mp4 2.56 MB
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  05. Training a Deep Learning Network.html 6.06 KB
  06. Save and Restore TensorFlow Models.html 14.68 KB
  07. Finetuning.html 10.08 KB
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  09. Regularization-QcJBhbuCl5g.en.vtt 1.47 KB
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  09. Regularization.html 5.94 KB
  10. Regularization Quiz.html 6.94 KB
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  11. Dropout RENDER-6DcImJS8uV8.en-US.vtt 2.64 KB
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  11. Dropout.html 5.94 KB
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  12. Dropout Pt. 2.html 5.94 KB
  13. Quiz TensorFlow Dropout.html 13.56 KB
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  Part 02-Module 05-Lesson 02_Convolutional Networks
  01. Intro To CNNs.html 8.58 KB
  01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt 309 B
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  01. Intro to CNNs-B61jxZ4rkMs.mp4 1.6 MB
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  02. Color-Question-BdQccpMwk80.en.vtt 739 B
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  02. Color.html 8.93 KB
  03. Statistical Invariance-0Hr5YwUUhr0.en.vtt 2.41 KB
  03. Statistical Invariance-0Hr5YwUUhr0.mp4 2.22 MB
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  04. Convolutional Networks-ISHGyvsT0QY.en.vtt 4.38 KB
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  05. Intuition.html 13.79 KB
  06. Filters.html 14.45 KB
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  08. Convolutions Cont.-utOv-BKI_vo.en.vtt 1.03 KB
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  09. Parameters.html 13.72 KB
  10. Quiz Convolution Output Shape.html 9.44 KB
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  16. Visualizing CNNs.html 15.5 KB
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  18. Explore The Design Space.html 8.43 KB
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  19. TensorFlow Max Pooling.html 10.7 KB
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  29. Inception Module-SlTm03bEOxA.en.vtt 1.58 KB
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  29. Inception Module.html 8.37 KB
  30. Convolutional Network in TensorFlow.html 18.71 KB
  31. TensorFlow Convolution Layer.html 11.67 KB
  32. Solution TensorFlow Convolution Layer.html 9.63 KB
  33. TensorFlow Pooling Layer.html 10.3 KB
  34. Solution TensorFlow Pooling Layer.html 9.23 KB
  35. CNNs - Additional Resources.html 8.88 KB
  img
  arch.png 1.2 MB
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  dog-1210559-1280.jpg?042148 222.96 KB
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  index.html 6.36 KB
  Part 02-Module 05-Lesson 03_Siraj's Image Classification
  01. On Keras.html 5.16 KB
  02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.en.vtt 14.28 KB
  02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.mp4 40.66 MB
  02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.pt.vtt 14.78 KB
  02. How to Make an Image Classifier - Intro to Deep Learning #6-cAICT4Al5Ow.ru.vtt 22.56 KB
  02. How to Make an Image Classifier.html 7.33 KB
  img
  mat-headshot.png 179.99 KB
  index.html 3.59 KB
  Part 02-Module 05-Lesson 04_Image Classification
  01. Introduction to the Project.html 4.96 KB
  01. Project Intro-awEYy2Df3hg.en.vtt 2.02 KB
  01. Project Intro-awEYy2Df3hg.mp4 2.89 MB
  01. Project Intro-awEYy2Df3hg.pt-BR.vtt 2.06 KB
  01. Project Intro-awEYy2Df3hg.zh-CN.vtt 1.83 KB
  Project Description - Image Classification.html 6.27 KB
  Project Rubric - Image Classification.html 10.38 KB
  index.html 3.72 KB
  Part 03-Module 01-Lesson 01_Intro to Recurrent Neural Networks
  01. Intro To RNNs-64HSG6HAfEI.en-US.vtt 4.46 KB
  01. Intro To RNNs-64HSG6HAfEI.mp4 3.99 MB
  01. Intro To RNNs-64HSG6HAfEI.pt.vtt 4.38 KB
  01. Intro To RNNs-64HSG6HAfEI.zh-CN.vtt 3.88 KB
  01. Intro to RNNs.html 6.3 KB
  02. LSTMs-RYbSHogZetc.en.vtt 7.07 KB
  02. LSTMs-RYbSHogZetc.mp4 6.87 MB
  02. LSTMs-RYbSHogZetc.pt.vtt 7.39 KB
  02. LSTMs-RYbSHogZetc.zh-CN.vtt 6.46 KB
  02. LSTMs.html 5.99 KB
  03. Character-Wise RNN-dXl3eWCGLdU.en.vtt 3.33 KB
  03. Character-Wise RNN-dXl3eWCGLdU.mp4 2.88 MB
  03. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt 3.66 KB
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  03. Character-wise RNNs.html 6.09 KB
  04. Sequence Batching.html 6.08 KB
  04. Sequence-Batching-Z4OiyU0Cldg.en.vtt 2.09 KB
  04. Sequence-Batching-Z4OiyU0Cldg.mp4 2.29 MB
  04. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt 2.33 KB
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  05. Character-wise RNN Notebook.html 6.39 KB
  06. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt 9.94 KB
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  06. Implementing a Character-wise RNN.html 6.19 KB
  07. Batching Data Solution-o3nBxHJLQcc.en.vtt 4.31 KB
  07. Batching Data Solution-o3nBxHJLQcc.mp4 5.08 MB
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  07. Batching Data Solution.html 6.11 KB
  08. LSTM Cell-ajC-5uWB8S4.en.vtt 6.06 KB
  08. LSTM Cell-ajC-5uWB8S4.mp4 7.79 MB
  08. LSTM Cell-ajC-5uWB8S4.pt-BR.vtt 6.21 KB
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  08. LSTM Cell.html 6.02 KB
  09. LSTM Cell Solution-X4uA0dq_4jA.en.vtt 3.13 KB
  09. LSTM Cell Solution-X4uA0dq_4jA.mp4 3.55 MB
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  09. LSTM Cell Solution.html 6.08 KB
  10. RNN Output-RkanDkcrTxs.en.vtt 5.73 KB
  10. RNN Output-RkanDkcrTxs.mp4 8.92 MB
  10. RNN Output-RkanDkcrTxs.pt-BR.vtt 5.64 KB
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  10. RNN Output.html 6.03 KB
  11. Network Loss-itu-uNK4brc.en.vtt 3.08 KB
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  11. Network Loss-itu-uNK4brc.pt-BR.vtt 3.16 KB
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  11. Network Loss.html 6.04 KB
  12. Output And Loss Solutions-CT8hcU7FmGc.en.vtt 3.45 KB
  12. Output And Loss Solutions-CT8hcU7FmGc.mp4 4.69 MB
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  12. Output and Loss Solutions.html 6.13 KB
  13. Build The Network-RVNjDlWTBQU.en.vtt 4.09 KB
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  13. Build the Network.html 6.08 KB
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  14. Build the Network Solution.html 6.15 KB
  15. RNN Resources.html 6.3 KB
  index.html 4.56 KB
  Part 03-Module 01-Lesson 02_Siraj's Stock Prediction
  01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.en.vtt 18.83 KB
  01. How to Predict Stock Prices Easily - Intro to Deep Learning #7-ftMq5ps503w.mp4 39.42 MB
  01. How to Predict Stock Prices Easily.html 6.29 KB
  index.html 3.53 KB
  Part 03-Module 01-Lesson 03_Hyperparameters
  01. Introducing Jay.html 5.82 KB
  02. Introduction-erwnzFD7AeE.en.vtt 2.34 KB
  02. Introduction-erwnzFD7AeE.mp4 2.22 MB
  02. Introduction-erwnzFD7AeE.pt-BR.vtt 2.17 KB
  02. Introduction-erwnzFD7AeE.zh-CN.vtt 2.01 KB
  02. Introduction.html 5.56 KB
  03. Learning Rate-HLMjeDez7ps.en.vtt 11.68 KB
  03. Learning Rate-HLMjeDez7ps.mp4 9.62 MB
  03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.29 KB
  03. Learning Rate-HLMjeDez7ps.zh-CN.vtt 10.11 KB
  03. Learning Rate.html 6.12 KB
  04. Learning Rate.html 7.34 KB
  05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.36 KB
  05. Minibatch Size-GrrO1NFxaW8.mp4 4.78 MB
  05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.77 KB
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  05. Minibatch Size.html 5.84 KB
  06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.63 KB
  06. Number Of Iterations-TTdHpSb4DV8.mp4 1.46 MB
  06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.53 KB
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  06. Number of Training Iterations Epochs.html 8.29 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.23 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
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  07. Number of Hidden Units Layers.html 6.49 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 3.87 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.12 MB
  08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.71 KB
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  08. RNN Hyperparameters.html 11.81 KB
  09. RNN Hyperparameters.html 6.55 KB
  10. Sources References.html 6.57 KB
  img
  f3iwvmld-400x400.jpg?042148 26.43 KB
  index.html 4.18 KB
  Part 03-Module 02-Lesson 01_Embeddings and Word2vec
  01. Embeddings Intro.html 6.91 KB
  02. Implementing Word2Vec-7M431_f9HgE.en.vtt 16.86 KB
  02. Implementing Word2Vec-7M431_f9HgE.mp4 23.33 MB
  02. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt 17.23 KB
  02. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt 14.27 KB
  02. Implementing Word2Vec.html 5.52 KB
  03. Subsampling Solution-MAUM_mV_lj8.en.vtt 5.99 KB
  03. Subsampling Solution-MAUM_mV_lj8.mp4 9.65 MB
  03. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt 6.27 KB
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  03. Subsampling Solution.html 5.51 KB
  04. Making Batches-jx7qwdw-94k.en.vtt 4.5 KB
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  04. Making Batches.html 5.47 KB
  05. Batches Solution-DdfR0RjSC-Q.en.vtt 2.64 KB
  05. Batches Solution-DdfR0RjSC-Q.mp4 3.88 MB
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  05. Batches Solution.html 5.48 KB
  06. Building The Network-fhSb5c6UX6M.en.vtt 5.14 KB
  06. Building The Network-fhSb5c6UX6M.mp4 8.09 MB
  06. Building The Network-fhSb5c6UX6M.pt-BR.vtt 4.88 KB
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  06. Building the Network.html 5.51 KB
  07. Negative Sampling-gW17AHBKbHY.en.vtt 2.55 KB
  07. Negative Sampling-gW17AHBKbHY.mp4 4.16 MB
  07. Negative Sampling-gW17AHBKbHY.pt-BR.vtt 2.36 KB
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  08. Building The Network Solution-pkBAhQ2Ki-8.en.vtt 4.06 KB
  08. Building The Network Solution-pkBAhQ2Ki-8.mp4 7.34 MB
  08. Building The Network Solution-pkBAhQ2Ki-8.pt-BR.vtt 4.03 KB
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  08. Building the Network Solution.html 5.57 KB
  09. Training Results-uISA5ns47s8.en.vtt 4.36 KB
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  09. Training Results-uISA5ns47s8.pt-BR.vtt 4.38 KB
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  img
  linear-relationships.png 112.35 KB
  mat-headshot.png 179.99 KB
  index.html 4.11 KB
  Part 03-Module 02-Lesson 02_Siraj's Style Transfer
  01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.en.vtt 14.74 KB
  01. How to Generate Art - Intro to Deep Learning #8-Oex0eWoU7AQ.mp4 41.19 MB
  01. How to Generate Art.html 6.6 KB
  index.html 3.5 KB
  Part 03-Module 02-Lesson 03_Q&A with FloydHub Founders
  01. Floyd QA-KUc59DPfBeo.en-US.vtt 58.95 KB
  01. Floyd QA-KUc59DPfBeo.mp4 215.66 MB
  01. Floyd QA-KUc59DPfBeo.pt-BR.vtt 48.45 KB
  01. FloydHub QA.html 4.53 KB
  index.html 3.49 KB
  Part 03-Module 03-Lesson 01_TensorBoard
  01. TensorBoard Intro.html 6.03 KB
  02. TensorBoard Graphs 1-M64FWxf1yK4.en.vtt 8.69 KB
  02. TensorBoard Graphs 1-M64FWxf1yK4.mp4 12.05 MB
  02. TensorBoard Graphs 1-M64FWxf1yK4.pt-BR.vtt 7.27 KB
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  02. Viewing Graphs.html 5.07 KB
  03. Name Scopes.html 5.06 KB
  03. TensorBoard Graphs 2-REmz7HUj6f4.en.vtt 8.09 KB
  03. TensorBoard Graphs 2-REmz7HUj6f4.mp4 11.07 MB
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  04. Inspecting Variables.html 5.09 KB
  04. TensorBoard Variables 1-QG41p4Wx5wc.en.vtt 13.57 KB
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  04. TensorBoard Variables 1-QG41p4Wx5wc.pt-BR.vtt 10.92 KB
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  05. Choosing Hyperparameters.html 5.12 KB
  05. TensorBoard Hyperparameters-THiwPbkjoLQ.en.vtt 9.67 KB
  05. TensorBoard Hyperparameters-THiwPbkjoLQ.mp4 14.37 MB
  05. TensorBoard Hyperparameters-THiwPbkjoLQ.pt-BR.vtt 8.49 KB
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  img
  mat-headshot.png 179.99 KB
  index.html 3.76 KB
  Part 03-Module 03-Lesson 02_Siraj's Music Generation
  01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.en.vtt 14.51 KB
  01. How to Generate Music - Intro to Deep Learning #9-4DMm5Lhey1U.mp4 43.47 MB
  01. How to Generate Music.html 7.15 KB
  02. How to Succeed in any Programming Interview-5KB5KAak6tM.en.vtt 12.07 KB
  02. How to Succeed in any Programming Interview-5KB5KAak6tM.ko.vtt 17.44 KB
  02. How to Succeed in any Programming Interview-5KB5KAak6tM.mp4 26.98 MB
  02. How to Succeed in any Programming Interview-5KB5KAak6tM.ru.vtt 17.8 KB
  02. How to Succeed in any Programming Interview.html 5 KB
  index.html 3.63 KB
  Part 03-Module 04-Lesson 01_Siraj's Text Summarization
  01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.en.vtt 17.89 KB
  01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.fi.vtt 16.92 KB
  01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.mp4 36.28 MB
  01. How to Make a Text Summarizer - Intro to Deep Learning #10-ogrJaOIuBx4.pt-BR.vtt 17.28 KB
  01. How to Make a Text Summarizer.html 6.56 KB
  index.html 3.52 KB
  Part 03-Module 04-Lesson 02_Weight Initialization
  01. Weight Initialization Intro.html 5.65 KB
  02. Ones and Zeros.html 5.2 KB
  02. Weight Initialization 1-6vXMYu_TQIA.en.vtt 9.67 KB
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  02. Weight Initialization 1-6vXMYu_TQIA.pt-BR.vtt 8.17 KB
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  03. Uniform Distribution.html 5.21 KB
  03. Weight Initialization 2-BI3f0Cdc_nU.en.vtt 9.47 KB
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  04. Too Small.html 5.19 KB
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  05. Normal Distribution.html 5.21 KB
  05. Weight Initialization 4-FM6t7AsodGQ.en.vtt 8.32 KB
  05. Weight Initialization 4-FM6t7AsodGQ.mp4 9.56 MB
  05. Weight Initialization 4-FM6t7AsodGQ.pt-BR.vtt 7.27 KB
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  06. Additional Material.html 5.44 KB
  img
  mat-headshot.png 179.99 KB
  index.html 3.86 KB
  Part 03-Module 04-Lesson 03_Sentiment Prediction RNN
  01. Intro.html 6.34 KB
  02. Sentiment Prediction-uGN3rZJRiMY.en.vtt 8.66 KB
  02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.25 MB
  02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt 7.33 KB
  02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt 8 KB
  02. Sentiment RNN.html 5.24 KB
  03. Data Preprocessing-h4-LwZU9_k8.en.vtt 5.33 KB
  03. Data Preprocessing-h4-LwZU9_k8.mp4 6.86 MB
  03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt 4.56 KB
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  03. Data Preprocessing.html 5.24 KB
  04. Creating Testing Sets-BRBbrNLz1ho.en.vtt 2.02 KB
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  04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt 1.74 KB
  04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt 1.68 KB
  04. Creating Testing Sets.html 5.58 KB
  05. Building The RNN 1-XTD6slf64fM.en.vtt 13.87 KB
  05. Building The RNN 1-XTD6slf64fM.mp4 19.11 MB
  05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt 12.3 KB
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  05. Building the RNN.html 5.43 KB
  06. Training The Network-nknJ3Xu3ld0.en.vtt 6.38 KB
  06. Training The Network-nknJ3Xu3ld0.mp4 8.41 MB
  06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt 5.7 KB
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  06. Training the Network.html 5.25 KB
  07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt 17.68 KB
  07. Sentiment RNN 2-V9YGGjmoHS0.mp4 23.11 MB
  07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt 15.77 KB
  07. Sentiment RNN 2-V9YGGjmoHS0.zh-CN.vtt 14.72 KB
  07. Solutions.html 5.21 KB
  img
  mat-headshot.png 179.99 KB
  index.html 3.9 KB
  Part 03-Module 04-Lesson 04_Generate TV Scripts
  01. Introduction.html 5.13 KB
  01. Project-3-Intro-qNpv7IjQzo0.en-US.vtt 701 B
  01. Project-3-Intro-qNpv7IjQzo0.en.vtt 667 B
  01. Project-3-Intro-qNpv7IjQzo0.mp4 667.23 KB
  01. Project-3-Intro-qNpv7IjQzo0.pt-BR.vtt 720 B
  01. Project-3-Intro-qNpv7IjQzo0.zh-CN.vtt 640 B
  02. TV Script Workspace.html 5.44 KB
  Project Description - Generate TV Scripts.html 6.53 KB
  Project Rubric - Generate TV Scripts.html 12.85 KB
  index.html 3.76 KB
  Part 03-Module 05-Lesson 01_Transfer Learning in TensorFlow
  01. Transfer Learning Intro.html 7.12 KB
  02. Transfer Learning with VGGNet.html 5.59 KB
  02. Transfer Learning--WmQwYr0DYjY.en.vtt 6.92 KB
  02. Transfer Learning--WmQwYr0DYjY.mp4 8.28 MB
  02. Transfer Learning--WmQwYr0DYjY.pt-BR.vtt 6.01 KB
  02. Transfer Learning--WmQwYr0DYjY.zh-CN.vtt 6.42 KB
  03. Building VGGNet-615SslQiGvo.en.vtt 7.52 KB
  03. Building VGGNet-615SslQiGvo.mp4 8.87 MB
  03. Building VGGNet-615SslQiGvo.pt-BR.vtt 6.26 KB
  03. Building VGGNet-615SslQiGvo.zh-CN.vtt 6.26 KB
  03. VGGNet.html 5.53 KB
  04. Pretrained VGGNet-BpzI6Svmuv8.en.vtt 2.04 KB
  04. Pretrained VGGNet-BpzI6Svmuv8.mp4 3.16 MB
  04. Pretrained VGGNet-BpzI6Svmuv8.pt-BR.vtt 1.74 KB
  04. Pretrained VGGNet-BpzI6Svmuv8.zh-CN.vtt 1.71 KB
  04. VGGNet Solution.html 5.56 KB
  05. Data Preparation-WfsDMq-b3y4.en.vtt 7.04 KB
  05. Data Preparation-WfsDMq-b3y4.mp4 9.23 MB
  05. Data Preparation-WfsDMq-b3y4.pt-BR.vtt 6.15 KB
  05. Data Preparation-WfsDMq-b3y4.zh-CN.vtt 6.34 KB
  05. Data Preparation.html 5.55 KB
  06. Data Preparation Solution.html 5.57 KB
  06. Data Preparation-WEtKkHlhhZA.en.vtt 3.52 KB
  06. Data Preparation-WEtKkHlhhZA.mp4 4.4 MB
  06. Data Preparation-WEtKkHlhhZA.pt-BR.vtt 3.01 KB
  06. Data Preparation-WEtKkHlhhZA.zh-CN.vtt 3.3 KB
  07. Building The Classifier-pPHiVddBY0Q.en.vtt 1.61 KB
  07. Building The Classifier-pPHiVddBY0Q.mp4 1.99 MB
  07. Building The Classifier-pPHiVddBY0Q.pt-BR.vtt 1.41 KB
  07. Building The Classifier-pPHiVddBY0Q.zh-CN.vtt 1.53 KB
  07. Classifier.html 5.58 KB
  08. Building The Classifier-6ifxRQ_gL7w.en.vtt 3.61 KB
  08. Building The Classifier-6ifxRQ_gL7w.mp4 3.99 MB
  08. Building The Classifier-6ifxRQ_gL7w.pt-BR.vtt 3.13 KB
  08. Building The Classifier-6ifxRQ_gL7w.zh-CN.vtt 2.95 KB
  08. Classifier Solution.html 5.59 KB
  09. Training The Classifier-b7Fy3cIoJ1Y.en.vtt 3.34 KB
  09. Training The Classifier-b7Fy3cIoJ1Y.mp4 4.19 MB
  09. Training The Classifier-b7Fy3cIoJ1Y.pt-BR.vtt 2.63 KB
  09. Training The Classifier-b7Fy3cIoJ1Y.zh-CN.vtt 2.81 KB
  09. Training.html 5.57 KB
  10. Training And Testing-NLPtmQjGYCA.en.vtt 5.83 KB
  10. Training And Testing-NLPtmQjGYCA.mp4 8.23 MB
  10. Training And Testing-NLPtmQjGYCA.pt-BR.vtt 5.06 KB
  10. Training And Testing-NLPtmQjGYCA.zh-CN.vtt 4.73 KB
  10. Training solution.html 5.58 KB
  img
  mat-headshot.png 179.99 KB
  index.html 4.16 KB
  Part 03-Module 05-Lesson 02_Siraj's Language Translation
  01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.en.vtt 13.7 KB
  01. How to Make a Language Translator - Intro to Deep Learning #11-nRBnh4qbPHI.mp4 36.56 MB
  01. How to Make a Language Translator.html 7.51 KB
  index.html 3.54 KB
  Part 03-Module 06-Lesson 01_Sequence to Sequence
  01. Introducing Jay Alammar.html 6.28 KB
  02. Jay Introduction.html 5.62 KB
  02. Jay's Introduction-HPOzAlXhuxQ.en.vtt 5.72 KB
  02. Jay's Introduction-HPOzAlXhuxQ.mp4 5.81 MB
  02. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt 5.58 KB
  02. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt 5.15 KB
  03. Applications seq2seq-tDJBDwriJYQ.en.vtt 2.63 KB
  03. Applications seq2seq-tDJBDwriJYQ.mp4 2.48 MB
  03. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt 2.5 KB
  03. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt 2.41 KB
  03. Applications.html 5.6 KB
  04. Architecture encoder decoder-dkHdEAJnV_w.en.vtt 5.45 KB
  04. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.49 MB
  04. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 4.92 KB
  04. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt 4.82 KB
  04. Architectures.html 5.64 KB
  05. Architecture in More Depth-rdAo4MqLbEk.en.vtt 5.17 KB
  05. Architecture in More Depth-rdAo4MqLbEk.mp4 5.35 MB
  05. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt 5.02 KB
  05. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt 4.56 KB
  05. Architectures in More Depth.html 5.66 KB
  06. Preprocessing-ktQW6p9pOS4.en.vtt 7.27 KB
  06. Preprocessing-ktQW6p9pOS4.mp4 8.88 MB
  06. Preprocessing-ktQW6p9pOS4.pt-BR.vtt 6.81 KB
  06. Preprocessing-ktQW6p9pOS4.zh-CN.vtt 6.4 KB
  06. Preprocessing.html 6.13 KB
  07. Sequence to sequence in TensorFlow.html 8.54 KB
  08. Inputs.html 15.83 KB
  09. Further Reading.html 6.07 KB
  10. Sequence to Sequence in TensorFlow.html 5.78 KB
  img
  mat-headshot.png 179.99 KB
  sequence-to-sequence-embedding-encoder-decoder.png 21.96 KB
  sequence-to-sequence-high-level-encoder-decoder.png 11.54 KB
  sequence-to-sequence-unrolled-encoder-decoder.png 22.5 KB
  index.html 4.19 KB
  Part 03-Module 06-Lesson 02_Siraj's Chatbot
  01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.en.vtt 16.8 KB
  01. How to Make a Chatbot - Intro to Deep Learning #12-t5qgjJIBy9g.mp4 47.55 MB
  01. How to Make a Chatbot.html 6.62 KB
  index.html 3.49 KB
  Part 03-Module 07-Lesson 01_Reinforcement Learning
  01. Reinforcement Learning Lesson.html 6.08 KB
  02. 01 Q-Learning-Npu9gyD6-4o.en.vtt 2.81 KB
  02. 01 Q-Learning-Npu9gyD6-4o.mp4 3.09 MB
  02. 01 Q-Learning-Npu9gyD6-4o.pt-BR.vtt 2.78 KB
  02. 01 Q-Learning-Npu9gyD6-4o.zh-CN.vtt 2.57 KB
  02. Reinforcement Learning.html 4.98 KB
  03. 02 Q-Learning-WQgdnzzhSLM.en.vtt 9.75 KB
  03. 02 Q-Learning-WQgdnzzhSLM.mp4 10.61 MB
  03. 02 Q-Learning-WQgdnzzhSLM.pt-BR.vtt 9.33 KB
  03. 02 Q-Learning-WQgdnzzhSLM.zh-CN.vtt 8.55 KB
  03. Q-Learning.html 4.95 KB
  04. Deep Q-Learning.html 5.99 KB
  img
  mat-headshot.png 179.99 KB
  index.html 3.72 KB
  Part 03-Module 07-Lesson 02_Siraj's Reinforcement Learning
  01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.en.vtt 17.2 KB
  01. How to Win Slot Machines - Intro to Deep Learning #13-AIeWLTUYLZQ.mp4 51.99 MB
  01. How to Win Slot Machines.html 6.78 KB
  index.html 3.52 KB
  Part 03-Module 07-Lesson 03_Translation Project
  01. Introduction.html 4.96 KB
  01. Machine Translation Intro-5thBwpcYoiI.en.vtt 1.08 KB
  01. Machine Translation Intro-5thBwpcYoiI.mp4 3.86 MB
  01. Machine Translation Intro-5thBwpcYoiI.pt-BR.vtt 1009 B
  01. Machine Translation Intro-5thBwpcYoiI.zh-CN.vtt 1 KB
  Project Description - Translation Project.html 5.94 KB
  Project Rubric - Translation Project.html 9.59 KB
  index.html 3.69 KB
  Part 03-Module 08-Lesson 01_Siraj's Image Generation
  01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.en.vtt 16.52 KB
  01. How to Generate Images - Intro to Deep Learning #14-3-UDwk1U77s.mp4 50.72 MB
  01. How to Generate Images.html 6.87 KB
  index.html 3.51 KB
  Part 03-Module 08-Lesson 02_Autoencoders
  01. Autoencoder Lesson Intro.html 6.49 KB
  02. Autoencoders-ar5Iyx68cWc.en.vtt 2.41 KB
  02. Autoencoders-ar5Iyx68cWc.mp4 2.22 MB
  02. Autoencoders-ar5Iyx68cWc.pt-BR.vtt 2.36 KB
  02. Autoencoders-ar5Iyx68cWc.zh-CN.vtt 2.18 KB
  02. Autoencoders.html 5.2 KB
  03. A Simple Autoencoder.html 5.03 KB
  03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.en.vtt 12.95 KB
  03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp4 15.66 MB
  04. Simple Autoencoder Solution-Nv_D6DHfEk8.en.vtt 7.04 KB
  04. Simple Autoencoder Solution-Nv_D6DHfEk8.mp4 8.59 MB
  04. Simple Autoencoder Solution-Nv_D6DHfEk8.pt-BR.vtt 6.43 KB
  04. Simple Autoencoder Solution-Nv_D6DHfEk8.zh-CN.vtt 5.88 KB
  04. Simple Autoencoder Solution.html 5.31 KB
  05. Convolutional Autoencoders-18SZVRaumGs.en.vtt 14.17 KB
  05. Convolutional Autoencoders-18SZVRaumGs.mp4 21.51 MB
  05. Convolutional Autoencoders-18SZVRaumGs.pt-BR.vtt 13.87 KB
  05. Convolutional Autoencoders-18SZVRaumGs.zh-CN.vtt 12.04 KB
  05. Convolutional Autoencoders.html 5.3 KB
  06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.en.vtt 8.1 KB
  06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.mp4 12.68 MB
  06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.pt-BR.vtt 7.78 KB
  06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.zh-CN.vtt 7 KB
  06. Convolutional Autoencoders Solution.html 5.36 KB
  img
  autoencoder-1.png 24.69 KB
  mat-headshot.png 179.99 KB
  index.html 3.92 KB
  Part 04-Module 01-Lesson 01_Generative Adversarial Networks
  01. GANs Intro-F7XgI6TmaGI.en-US.vtt 1.57 KB
  01. GANs Intro-F7XgI6TmaGI.en.vtt 1.32 KB
  01. GANs Intro-F7XgI6TmaGI.mp4 3.24 MB
  01. GANs Intro-F7XgI6TmaGI.pt-BR.vtt 1.29 KB
  01. GANs Intro-F7XgI6TmaGI.zh-CN.vtt 1.45 KB
  01. Introducing Ian Goodfellow.html 6.55 KB
  02. Cool Things To Do With GANs-bo-ToTdhgew.en.vtt 7.34 KB
  02. Cool Things To Do With GANs-bo-ToTdhgew.mp4 11.98 MB
  02. Cool Things To Do With GANs-bo-ToTdhgew.pt-BR.vtt 6.86 KB
  02. Cool Things To Do With GANs-bo-ToTdhgew.zh-CN.vtt 6.94 KB
  02. What can you do with GANs.html 6.52 KB
  03. How GANs work.html 6.82 KB
  03. Other Generative Models, How GANs Work-MF0QCP1OC9I.en.vtt 7.42 KB
  03. Other Generative Models, How GANs Work-MF0QCP1OC9I.mp4 10.28 MB
  03. Other Generative Models, How GANs Work-MF0QCP1OC9I.pt-BR.vtt 7.48 KB
  03. Other Generative Models, How GANs Work-MF0QCP1OC9I.zh-CN.vtt 6.41 KB
  04. Games and Equilibria.html 6.57 KB
  04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.en.vtt 10.72 KB
  04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.mp4 13.4 MB
  04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.pt-BR.vtt 11.23 KB
  04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.zh-CN.vtt 9.47 KB
  05. GANs Architecture -gaEs7ccZv_Q.en.vtt 11.75 KB
  05. GANs Architecture -gaEs7ccZv_Q.mp4 15.96 MB
  05. GANs Architecture -gaEs7ccZv_Q.pt-BR.vtt 12.52 KB
  05. GANs Architecture -gaEs7ccZv_Q.zh-CN.vtt 10.22 KB
  05. Practical tips and tricks for training GANs.html 6.51 KB
  06. Build a GAN.html 7.21 KB
  07. Get started with a GAN.html 6.5 KB
  07. Getting Started with GANs-QA2ntKUha4g.en.vtt 4 KB
  07. Getting Started with GANs-QA2ntKUha4g.mp4 5.04 MB
  07. Getting Started with GANs-QA2ntKUha4g.pt-BR.vtt 3.82 KB
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  08. Generator Network-btHVXnICmzQ.en.vtt 6.74 KB
  08. Generator Network-btHVXnICmzQ.mp4 7.08 MB
  08. Generator Network-btHVXnICmzQ.pt-BR.vtt 6.01 KB
  08. Generator Network-btHVXnICmzQ.zh-CN.vtt 6.08 KB
  08. Generator Network.html 6.45 KB
  09. Discriminator Network-nWXxT8OqCfs.en.vtt 1.09 KB
  09. Discriminator Network-nWXxT8OqCfs.mp4 1.04 MB
  09. Discriminator Network-nWXxT8OqCfs.pt-BR.vtt 939 B
  09. Discriminator Network-nWXxT8OqCfs.zh-CN.vtt 1.06 KB
  09. Discriminator Network.html 6.48 KB
  10. Generator and Discriminator Solutions-9By2pAck044.en.vtt 5.94 KB
  10. Generator and Discriminator Solutions-9By2pAck044.mp4 6.29 MB
  10. Generator and Discriminator Solutions-9By2pAck044.pt-BR.vtt 5.24 KB
  10. Generator and Discriminator Solutions-9By2pAck044.zh-CN.vtt 5.29 KB
  10. Generator and Discriminator Solutions.html 6.59 KB
  11. Building the Network-5sZkRSHfiAE.en.vtt 3.83 KB
  11. Building the Network-5sZkRSHfiAE.mp4 4.22 MB
  11. Building the Network-5sZkRSHfiAE.pt-BR.vtt 3.37 KB
  11. Building the Network-5sZkRSHfiAE.zh-CN.vtt 3.45 KB
  11. Building the Network.html 6.47 KB
  12. Building the Network Solution-Ikp3rVzG970.en.vtt 3.43 KB
  12. Building the Network Solution-Ikp3rVzG970.mp4 4.33 MB
  12. Building the Network Solution-Ikp3rVzG970.pt-BR.vtt 2.89 KB
  12. Building the Network Solution-Ikp3rVzG970.zh-CN.vtt 3.08 KB
  12. Building the Network Solution.html 6.54 KB
  13. Training Losses-IaAeDrXMEcU.en.vtt 3.76 KB
  13. Training Losses-IaAeDrXMEcU.mp4 5.83 MB
  13. Training Losses-IaAeDrXMEcU.pt-BR.vtt 3.6 KB
  13. Training Losses-IaAeDrXMEcU.zh-CN.vtt 3.33 KB
  13. Training Losses.html 6.44 KB
  14. Training Optimizers-AU5gH7LS57E.en.vtt 3.04 KB
  14. Training Optimizers-AU5gH7LS57E.mp4 3.45 MB
  14. Training Optimizers-AU5gH7LS57E.pt-BR.vtt 2.7 KB
  14. Training Optimizers-AU5gH7LS57E.zh-CN.vtt 2.67 KB
  14. Training Optimizers.html 6.47 KB
  15. Training Losses and Optimizers Solution.html 6.61 KB
  15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.en.vtt 5.07 KB
  15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.mp4 6.82 MB
  15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.pt-BR.vtt 4.99 KB
  15. Training Losses and Optimizers Solutions-HlABZ9Q7xEo.zh-CN.vtt 4.59 KB
  16. A Trained GAN-TR-uEJcjig4.en.vtt 9.95 KB
  16. A Trained GAN-TR-uEJcjig4.mp4 11.67 MB
  16. A Trained GAN-TR-uEJcjig4.pt-BR.vtt 9.13 KB
  16. A Trained GAN-TR-uEJcjig4.zh-CN.vtt 8.9 KB
  16. A Trained GAN.html 6.43 KB
  17. Doing More With Your GAN.html 8.1 KB
  img
  generated-mnist.png 345.99 KB
  mat-headshot.png 179.99 KB
  index.html 4.88 KB
  Part 04-Module 01-Lesson 02_Siraj's Video Generation
  01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.en.vtt 18.02 KB
  01. How to Generate Video - Intro to Deep Learning #15--E2N1kQc8MM.mp4 46.79 MB
  01. How to Generate Video.html 7.36 KB
  index.html 3.5 KB
  Part 04-Module 02-Lesson 01_Siraj's One-Shot Learning
  01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.en.vtt 15.21 KB
  01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.mp4 35.35 MB
  01. How to Learn from Little Data - Intro to Deep Learning #17-tChcZpBbTTA.nl.vtt 13.52 KB
  01. How to Learn from Little Data.html 5.95 KB
  index.html 3.52 KB
  Part 04-Module 02-Lesson 02_Hyperparameters
  01. Introducing Jay.html 5.82 KB
  02. Introduction-erwnzFD7AeE.en.vtt 2.34 KB
  02. Introduction-erwnzFD7AeE.mp4 2.22 MB
  02. Introduction-erwnzFD7AeE.pt-BR.vtt 2.17 KB
  02. Introduction-erwnzFD7AeE.zh-CN.vtt 2.01 KB
  02. Introduction.html 5.56 KB
  03. Learning Rate-HLMjeDez7ps.en.vtt 11.68 KB
  03. Learning Rate-HLMjeDez7ps.mp4 9.62 MB
  03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.29 KB
  03. Learning Rate-HLMjeDez7ps.zh-CN.vtt 10.11 KB
  03. Learning Rate.html 6.12 KB
  04. Learning Rate.html 7.34 KB
  05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.36 KB
  05. Minibatch Size-GrrO1NFxaW8.mp4 4.78 MB
  05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.77 KB
  05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt 4.77 KB
  05. Minibatch Size.html 5.84 KB
  06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.63 KB
  06. Number Of Iterations-TTdHpSb4DV8.mp4 1.46 MB
  06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.53 KB
  06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt 1.5 KB
  06. Number of Training Iterations Epochs.html 8.29 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.23 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt 3.02 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt 2.82 KB
  07. Number of Hidden Units Layers.html 6.49 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 3.87 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.12 MB
  08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.71 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt 3.62 KB
  08. RNN Hyperparameters.html 11.81 KB
  09. RNN Hyperparameters.html 6.55 KB
  10. Sources References.html 6.57 KB
  img
  f3iwvmld-400x400.jpg?042148 26.43 KB
  index.html 4.18 KB
  Part 04-Module 02-Lesson 03_Deep Convolutional GANs
  01. Deep Convolutional GANs.html 6.69 KB
  02. DCGAN Architecture.html 5.62 KB
  02. Deconvolution-sX_AxtB6CHI.en.vtt 7.21 KB
  02. Deconvolution-sX_AxtB6CHI.mp4 8.27 MB
  02. Deconvolution-sX_AxtB6CHI.pt-BR.vtt 7.01 KB
  02. Deconvolution-sX_AxtB6CHI.zh-CN.vtt 6.47 KB
  03. Batch Normalization.html 6.56 KB
  04. DCGAN Implementation.html 6.19 KB
  05. DCGAN And The Generator-CH6BxLTKt7s.en.vtt 11.03 KB
  05. DCGAN And The Generator-CH6BxLTKt7s.mp4 16.03 MB
  05. DCGAN And The Generator-CH6BxLTKt7s.pt-BR.vtt 9.09 KB
  05. DCGAN And The Generator-CH6BxLTKt7s.zh-CN.vtt 9.62 KB
  05. DCGAN and the Generator.html 5.68 KB
  06. Generator Solution-jyPwUEZg05Q.en.vtt 3.79 KB
  06. Generator Solution-jyPwUEZg05Q.mp4 7.26 MB
  06. Generator Solution-jyPwUEZg05Q.pt-BR.vtt 3.15 KB
  06. Generator Solution-jyPwUEZg05Q.zh-CN.vtt 3.3 KB
  06. Generator Solution.html 5.65 KB
  07. Discriminator-XRqOUbf96eI.en.vtt 3.08 KB
  07. Discriminator-XRqOUbf96eI.mp4 3.25 MB
  07. Discriminator-XRqOUbf96eI.pt-BR.vtt 2.57 KB
  07. Discriminator-XRqOUbf96eI.zh-CN.vtt 2.66 KB
  07. Discriminator.html 5.61 KB
  08. Discriminator Solution-ffPWI2yJscw.en.vtt 3.34 KB
  08. Discriminator Solution-ffPWI2yJscw.mp4 3.87 MB
  08. Discriminator Solution-ffPWI2yJscw.pt-BR.vtt 2.73 KB
  08. Discriminator Solution-ffPWI2yJscw.zh-CN.vtt 2.98 KB
  08. Discriminator Solution.html 5.67 KB
  09. Building And Training The Network-nXKk9GI4X14.en.vtt 6.14 KB
  09. Building And Training The Network-nXKk9GI4X14.mp4 8.08 MB
  09. Building And Training The Network-nXKk9GI4X14.pt-BR.vtt 4.63 KB
  09. Building And Training The Network-nXKk9GI4X14.zh-CN.vtt 5.13 KB
  09. Building and Training the Network.html 5.75 KB
  10. Hyperparameter Solutions.html 5.69 KB
  10. Hyperparameters Solution-Rt8MlVDtpi8.en.vtt 4.21 KB
  10. Hyperparameters Solution-Rt8MlVDtpi8.mp4 7 MB
  10. Hyperparameters Solution-Rt8MlVDtpi8.pt-BR.vtt 3.51 KB
  10. Hyperparameters Solution-Rt8MlVDtpi8.zh-CN.vtt 3.62 KB
  img
  mat-headshot.png 179.99 KB
  svhn-examples.png 169.93 KB
  index.html 4.23 KB
  Part 04-Module 02-Lesson 04_Generate Faces
  01. Last Project - Congrats-UUqU8SYBZ9Q.en.vtt 792 B
  01. Last Project - Congrats-UUqU8SYBZ9Q.mp4 2.2 MB
  01. Last Project - Congrats-UUqU8SYBZ9Q.pt-BR.vtt 850 B
  01. Last Project - Congrats-UUqU8SYBZ9Q.zh-CN.vtt 764 B
  01. One Project Away!.html 5.16 KB
  02. P5 Intro-jvJtHYBX7sM.en.vtt 1.04 KB
  02. P5 Intro-jvJtHYBX7sM.mp4 1.61 MB
  02. P5 Intro-jvJtHYBX7sM.pt-BR.vtt 1.08 KB
  02. P5 Intro-jvJtHYBX7sM.zh-CN.vtt 1.07 KB
  02. Project Introduction.html 5.09 KB
  03. Face Generation Workspace.html 5.56 KB
  Project Description - Generate Faces.html 5.96 KB
  Project Rubric - Generate Faces.html 8.15 KB
  index.html 3.83 KB
  Part 04-Module 02-Lesson 05_Semi-Supervised Learning
  01. Semi-supervised Learning.html 6.93 KB
  02. Semi-Supervised Classification with GANs.html 6.03 KB
  02. Semi-Supervised Learning-_LRpHPxZaX0.en.vtt 10.16 KB
  02. Semi-Supervised Learning-_LRpHPxZaX0.mp4 10.11 MB
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  Part 05-Module 01-Lesson 01_Enroll in your next Nanodegree program
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  Part 06-Module 01-Lesson 01_Welcome to Deep Learning
  01. 01 Welcome To The Deep Learning Program-3QPEmwq2NaE.mp4 14.28 MB
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  Part 06-Module 01-Lesson 02_Applying Deep Learning
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  Part 06-Module 01-Lesson 03_Anaconda
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  Part 06-Module 01-Lesson 04_Jupyter Notebooks
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  Part 06-Module 01-Lesson 05_Matrix Math and NumPy Refresher
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  Part 07-Module 01-Lesson 01_Introduction to Neural Networks
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  33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.17 KB
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  34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.16 KB
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  35. Pre-Lab Analyzing Student Data.html 9.29 KB
  36. Notebook Analyzing Student Data.html 8.83 KB
  37. Outro.html 8.37 KB
  img
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  Part 07-Module 01-Lesson 02_Implementing Gradient Descent
  01. Mean Squared Error Function.html 6.07 KB
  02. Gradient Descent-29PmNG7fuuM.en.vtt 1.6 KB
  02. Gradient Descent-29PmNG7fuuM.mp4 2.46 MB
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  05. Implementing Gradient Descent.html 26.66 KB
  06. Multilayer Perceptrons.html 20.99 KB
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  06. Multilayer perceptrons-Rs9petvTBLk.mp4 2.85 MB
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  07. Backpropagation-MZL97-2joxQ.en-US.vtt 2.42 KB
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  08. Implementing Backpropagation.html 21.42 KB
  09. Further Reading.html 5.76 KB
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  Part 07-Module 01-Lesson 03_Training Neural Networks
  01. Instructor.html 6.18 KB
  02. Training Optimization-UiGKhx9pUYc.en.vtt 824 B
  02. Training Optimization-UiGKhx9pUYc.mp4 2.96 MB
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  02. Training Optimization.html 6.19 KB
  03. Testing-EeBZpb-PSac.en.vtt 2.41 KB
  03. Testing-EeBZpb-PSac.mp4 2 MB
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  03. Testing.html 6.09 KB
  04. Overfitting and Underfitting.html 6.24 KB
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  05. Early Stopping.html 6.18 KB
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  06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.15 KB
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  06. Regularization.html 7.12 KB
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  12. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.68 KB
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  13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.64 KB
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  14. Learning Rate Decay.html 6.15 KB
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  Part 07-Module 01-Lesson 04_Sentiment Analysis
  01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt 746 B
  01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 4.08 MB
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  01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt 685 B
  01. Introducing Andrew Trask.html 7.04 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt 5.42 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.mp4 23.76 MB
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  02. Meet Andrew.html 7.31 KB
  03. Materials.html 9.2 KB
  04. The Notebooks.html 7.39 KB
  05. Framing the Problem-IsTOnkAKaJw.en.vtt 8.81 KB
  05. Framing the Problem-IsTOnkAKaJw.mp4 17.65 MB
  05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt 7.85 KB
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  05. Framing the Problem.html 7 KB
  06. Mini Project 1.html 7.57 KB
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  07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.79 MB
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  09. Mini Project 2.html 9.47 KB
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  10. Mini Project 2 Solution.html 7.29 KB
  11. Building a Neural Network-aM2k7RTjjJI.en.vtt 3.3 KB
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  11. Building a Neural Network.html 7.04 KB
  12. Mini Project 3.html 8.52 KB
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  13. Mini Project 3 Solution.html 7.29 KB
  14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt 15.63 KB
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  14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt 13.69 KB
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  14. Understanding Neural Noise.html 7.05 KB
  15. Mini Project 4.html 7.64 KB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt 9.3 KB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 20.67 MB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt 7.84 KB
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  16. Understanding Inefficiencies in our Network.html 7.17 KB
  17. Mini Project 5.html 8.44 KB
  18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.55 KB
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  18. Mini Project 5 Solution.html 7.29 KB
  19. Further Noise Reduction-Kl3hWxizKVg.en.vtt 10.9 KB
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  20. Mini Project 6.html 8.59 KB
  21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt 13.94 KB
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  21. Mini Project 6 Solution.html 7.41 KB
  22. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt 13.69 KB
  22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 33.67 MB
  22. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt 12.59 KB
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  22. Analysis What's Going on in the Weights.html 7.4 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.73 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 11.79 MB
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  23. Conclusion.html 7 KB
  img
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  Part 07-Module 01-Lesson 05_Keras
  01. Intro.html 6.05 KB
  02. Keras.html 15.58 KB
  03. Pre-Lab Student Admissions in Keras.html 11.51 KB
  04. Lab Student Admissions in Keras.html 5.84 KB
  05. Optimizers in Keras.html 6.17 KB
  06. Keras Lab-a50un22BsLI.en.vtt 586 B
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  06. Keras Lab-a50un22BsLI.pt-BR.vtt 574 B
  06. Keras Lab-a50un22BsLI.zh-CN.vtt 540 B
  06. Mini Project Intro.html 5.36 KB
  07. Pre-Lab IMDB Data in Keras.html 9.58 KB
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  img
  all-ranks.png 308.47 KB
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  Part 07-Module 01-Lesson 06_TensorFlow
  01. Intro.html 8.36 KB
  02. Installing TensorFlow.html 8.81 KB
  03. Hello, Tensor World!.html 8.95 KB
  04. Quiz TensorFlow Linear Function.html 21.87 KB
  05. Quiz TensorFlow Softmax.html 9.2 KB
  06. Quiz TensorFlow Cross Entropy.html 9.57 KB
  07. Quiz Mini-batch.html 25.85 KB
  08. Epochs.html 13.42 KB
  09. Pre-Lab NotMNIST in TensorFlow.html 8.65 KB
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  11. Two-layer Neural Network.html 8.12 KB
  12. Quiz TensorFlow ReLUs.html 9.81 KB
  13. Deep Neural Network in TensorFlow.html 11.97 KB
  14. Save and Restore TensorFlow Models.html 15.08 KB
  15. Finetuning.html 10.49 KB
  16. Quiz TensorFlow Dropout.html 13.97 KB
  17. Conclusion-wOiUQDgGD9E.en.vtt 725 B
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  17. Conclusion-wOiUQDgGD9E.pt-BR.vtt 1.02 KB
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  img
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  Part 08-Module 01-Lesson 01_Cloud Computing
  01. Overview.html 6.47 KB
  02. Create an AWS Account.html 5.89 KB
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  04. Apply Credits.html 6.63 KB
  05. Launch an Instance.html 12.53 KB
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  img
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  Part 08-Module 01-Lesson 02_CNNs in TensorFlow
  01. Convolutional Layers.html 9.48 KB
  02. Quiz Convolutional Layers.html 8.75 KB
  03. Solution Convolutional Layers.html 6.74 KB
  04. Max Pooling Layers.html 7.8 KB
  05. Quiz Max Pooling Layers.html 7.42 KB
  06. Solution Max Pooling Layers.html 6.3 KB
  07. CNNs in TensorFlow.html 12.71 KB
  08. CNNs - Additional Resources.html 5.96 KB
  img
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  Part 08-Module 01-Lesson 03_Weight Initialization
  01. Weight Initialization Intro.html 5.65 KB
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  02. Weight Initialization 1-6vXMYu_TQIA.en.vtt 9.67 KB
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  Part 08-Module 01-Lesson 04_Convolutional Neural Networks
  01. Introducing Alexis-38ExGpdyvJI.en.vtt 694 B
  01. Introducing Alexis-38ExGpdyvJI.mp4 2.05 MB
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  01. Introducing Alexis.html 7.79 KB
  02. Applications of CNNs-HrYNL_1SV2Y.en.vtt 5.37 KB
  02. Applications of CNNs-HrYNL_1SV2Y.mp4 17.7 MB
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  02. Applications of CNNs.html 12.91 KB
  03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt 5.52 KB
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  04. MLPs For Image Classification-TIFStebu530.en.vtt 3.82 KB
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  05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt 4.82 KB
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  06. Model Validation in Keras-002jNXSM6CU.en.vtt 5.51 KB
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  07. When do MLPs (not) work well .html 7.93 KB
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  08. Mini Project Training an MLP on MNIST.html 10.88 KB
  09. Local Connectivity-z9wiDg0w-Dc.en.vtt 8.95 KB
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  10. Convolutional Layers (Part 1).html 7.62 KB
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  12. Stride and Padding-0r9o8hprDXQ.en.vtt 4.41 KB
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  13. Convolutional Layers in Keras.html 11.95 KB
  14. Quiz Dimensionality.html 16.08 KB
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  16. Max Pooling Layers in Keras.html 10.75 KB
  17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt 11.37 KB
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  18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt 5.39 KB
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  18. CNNs in Keras Practical Example.html 9.37 KB
  19. Mini Project CNNs in Keras.html 8.39 KB
  20. Image Augmentation in Keras-odStujZq3GY.en.vtt 8.22 KB
  20. Image Augmentation in Keras-odStujZq3GY.mp4 10.26 MB
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  21. Mini Project Image Augmentation in Keras.html 8.48 KB
  22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt 3.94 KB
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  23. Visualizing CNNs (Part 1).html 9.81 KB
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  25. Transfer Learning-LHG5FltaR6I.en.vtt 6 KB
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  25. Transfer Learning-LHG5FltaR6I.pt-BR.vtt 6.51 KB
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  Part 08-Module 01-Lesson 05_Autoencoders
  01. Autoencoder Lesson Intro.html 6.49 KB
  02. Autoencoders-ar5Iyx68cWc.en.vtt 2.41 KB
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  02. Autoencoders.html 5.2 KB
  03. A Simple Autoencoder.html 5.03 KB
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  03. A-Simple-Autoencoders 21718-lXGdkCT8E1c.mp4 15.66 MB
  04. Simple Autoencoder Solution-Nv_D6DHfEk8.en.vtt 7.04 KB
  04. Simple Autoencoder Solution-Nv_D6DHfEk8.mp4 8.59 MB
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  05. Convolutional Autoencoders-18SZVRaumGs.en.vtt 14.17 KB
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  06. Convolutional Autoencoder Solutions-w3iPs6YnqmY.en.vtt 8.1 KB
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  Part 08-Module 01-Lesson 06_Transfer Learning in TensorFlow
  01. Transfer Learning Intro.html 7.12 KB
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  02. Transfer Learning--WmQwYr0DYjY.en.vtt 6.92 KB
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  03. Building VGGNet-615SslQiGvo.en.vtt 7.52 KB
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  03. VGGNet.html 5.53 KB
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  07. Building The Classifier-pPHiVddBY0Q.en.vtt 1.61 KB
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  Part 08-Module 01-Lesson 07_Deep Learning for Cancer Detection with Sebastian Thrun
  01. Intro.html 7.77 KB
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  02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt 1.86 KB
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  03. Survival Probability of Skin Cancer.html 7.83 KB
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  04. Medical Classification-RCOSP60dV7U.en.vtt 1.37 KB
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  05. The Data-2RLbbV7MQNA.en.vtt 1.97 KB
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  06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt 1.07 KB
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  10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 B
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  14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4 1.57 MB
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  14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt 766 B
  15. More on Sensitivity and Specificity.html 10.85 KB
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 B
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4 1.14 MB
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 B
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 B
  16. Quiz Diagnosing Cancer.html 8.73 KB
  17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt 1.47 KB
  17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4 2.31 MB
  17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt 1.34 KB
  17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.zh-CN.vtt 1.25 KB
  17. Solution Diagnosing Cancer.html 10.23 KB
  18. Images-1GdiN5Wc8LA.mp4 395.42 KB
  18. ROC Curve-2Iw5TiGzJI4.en.vtt 8.66 KB
  18. ROC Curve-2Iw5TiGzJI4.mp4 6.66 MB
  18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt 8.12 KB
  18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt 7.3 KB
  18. Refresh on ROC Curves.html 11.04 KB
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt 791 B
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4 1.11 MB
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt 678 B
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt 729 B
  19. Quiz ROC Curve.html 8.92 KB
  20. Solution ROC Curve-sdUUf6RRmXI.en.vtt 943 B
  20. Solution ROC Curve-sdUUf6RRmXI.mp4 1.11 MB
  20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt 643 B
  20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt 823 B
  20. Solution ROC Curve.html 7.82 KB
  21. Comparing our Results with Doctors.html 7.81 KB
  21. ROC Curve-fWwe_JlpnlQ.en.vtt 3.04 KB
  21. ROC Curve-fWwe_JlpnlQ.mp4 2.68 MB
  21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt 2.64 KB
  21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt 2.58 KB
  22. Visualization-aGIGB4Ta3_A.en.vtt 1.85 KB
  22. Visualization-aGIGB4Ta3_A.mp4 2.43 MB
  22. Visualization-aGIGB4Ta3_A.pt-BR.vtt 1.78 KB
  22. Visualization-aGIGB4Ta3_A.zh-CN.vtt 1.48 KB
  22. Visualization.html 7.79 KB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt 2.17 KB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 3.46 MB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt 1.72 KB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.zh-CN.vtt 1.87 KB
  23. What is the network looking at.html 7.94 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt 5.52 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt 5.71 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.04 MB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt 4.76 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt 4.96 KB
  24. Refresh on Confusion Matrices.html 14.72 KB
  25. Confusion Matrix-3rpN-YYlfes.en.vtt 1.66 KB
  25. Confusion Matrix-3rpN-YYlfes.mp4 3.07 MB
  25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt 1.54 KB
  25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt 1.41 KB
  25. Confusion Matrix.html 7.81 KB
  26. Conclusion-WhpE_8sTt-0.en.vtt 3.64 KB
  26. Conclusion-WhpE_8sTt-0.mp4 8.2 MB
  26. Conclusion-WhpE_8sTt-0.pt-BR.vtt 3.28 KB
  26. Conclusion-WhpE_8sTt-0.zh-CN.vtt 3.26 KB
  26. Conclusion.html 7.77 KB
  27. Useful Resources.html 8.96 KB
  28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt 510 B
  28. Mini Project Introduction-Rgf3YVFWl-M.mp4 1.15 MB
  28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt 538 B
  28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 B
  28. Mini Project Introduction.html 7.87 KB
  29. Mini Project Dermatologist AI.html 19.52 KB
  img
  cat-1.jpeg 230.78 KB
  cat-2.jpeg 231.25 KB
  cat-3.png 575.91 KB
  confusion-matrix.png 310.94 KB
  lesions.png 1.57 MB
  nature.png 893.03 KB
  new-confusion-matrix.png 186.16 KB
  precision-recall.png 156.71 KB
  roc-curve.png 31.48 KB
  roc-curves.png 137.28 KB
  roc.png 78.96 KB
  sample-confusion-matrix.png 130.52 KB
  sample-roc-curve.png 46.33 KB
  sensitivity-specificity.png 155.14 KB
  skin-disease-classes.png 1.64 MB
  threshold.png 468.31 KB
  index.html 5.97 KB
  media
  monkey-doctor.png 189.92 KB
  Part 08-Module 02-Lesson 01_CNN Project Dog Breed Classifier
  01. Project Description.html 6.44 KB
  index.html 3.51 KB
  Part 09-Module 01-Lesson 01_Recurrent Neural Networks
  01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.en.vtt 1.51 KB
  01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4 10.69 MB
  01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.pt-BR.vtt 1.61 KB
  01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.zh-CN.vtt 1.35 KB
  01. Introducing Ortal .html 7.37 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt 4.46 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 20.89 MB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt 4.75 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt 4.05 KB
  02. RNN Introduction.html 8.05 KB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt 3.67 KB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.26 MB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.pt-BR.vtt 4.06 KB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.zh-CN.vtt 3.29 KB
  03. RNN History.html 10.63 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt 2.71 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.27 MB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.pt-BR.vtt 3.02 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.zh-CN.vtt 2.56 KB
  04. RNN Applications.html 8.86 KB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt 5.62 KB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 25.79 MB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.pt-BR.vtt 6.07 KB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.zh-CN.vtt 4.96 KB
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt 4.53 KB
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 19.68 MB
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.pt-BR.vtt 4.65 KB
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.zh-CN.vtt 4.03 KB
  05. Feedforward Neural Network-Reminder.html 11.01 KB
  06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt 5.16 KB
  06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 17.74 MB
  06. 06 FeedForward A V7 Final-4rCfnWbx8-0.pt-BR.vtt 5.69 KB
  06. 06 FeedForward A V7 Final-4rCfnWbx8-0.zh-CN.vtt 4.52 KB
  06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt 7.55 KB
  06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 26.65 MB
  06. 07 FeedForward B V3-kTYbTVh1d0k.pt-BR.vtt 7.86 KB
  06. 07 FeedForward B V3-kTYbTVh1d0k.zh-CN.vtt 6.7 KB
  06. The Feedforward Process.html 14.78 KB
  07. Feedforward Quiz.html 10.27 KB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt 8.51 KB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 34.84 MB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.pt-BR.vtt 8.44 KB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.zh-CN.vtt 7.18 KB
  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt 2.51 KB
  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 12.76 MB
  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.pt-BR.vtt 2.69 KB
  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.zh-CN.vtt 2.17 KB
  08. Backpropagation- Theory.html 11.86 KB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt 4.35 KB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 14.77 MB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.pt-BR.vtt 4.56 KB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.zh-CN.vtt 3.76 KB
  09. Backpropagation - Example (part a).html 14.72 KB
  09. Regra da cadeia-YAhIBOnbt54.en.vtt 1.65 KB
  09. Regra da cadeia-YAhIBOnbt54.mp4 1.46 MB
  09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt 1.73 KB
  09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt 1.42 KB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt 8.33 KB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.06 MB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.pt-BR.vtt 8.99 KB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.zh-CN.vtt 6.84 KB
  10. Backpropagation- Example (part b).html 18.81 KB
  11. Backpropagation Quiz.html 11.31 KB
  12. RNN (part a).html 9.48 KB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt 5.64 KB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.43 MB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt 5.8 KB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.zh-CN.vtt 5.05 KB
  13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt 5.3 KB
  13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.12 MB
  13. 16 RNN B V4 Final-wsif3p5t7CI.pt-BR.vtt 5.93 KB
  13. 16 RNN B V4 Final-wsif3p5t7CI.zh-CN.vtt 4.62 KB
  13. RNN (part b).html 12.54 KB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt 2.55 KB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 10.5 MB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.pt-BR.vtt 2.73 KB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.zh-CN.vtt 2.2 KB
  14. RNN- Unfolded Model.html 7.5 KB
  15. Unfolded Model Quiz.html 8.7 KB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt 5.05 KB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.11 MB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt 5.46 KB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.zh-CN.vtt 4.63 KB
  16. RNN- Example.html 7.78 KB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt 4.03 KB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 21.57 MB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.pt-BR.vtt 4.32 KB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt 3.52 KB
  17. Backpropagation Through Time (part a).html 12.74 KB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt 4.4 KB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.1 MB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt 4.7 KB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt 3.68 KB
  18. Backpropagation Through Time (part b).html 17.59 KB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt 3.29 KB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.23 MB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt 3.66 KB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.zh-CN.vtt 2.79 KB
  19. Backpropagation Through Time (part c).html 14.06 KB
  20. BPTT Quiz 1.html 8.98 KB
  21. BPTT Quiz 2.html 8.62 KB
  22. BPTT Quiz 3.html 12.12 KB
  23. Some more math.html 13.61 KB
  24. RNN Summary-nXP0oGGRrO8.en.vtt 5.61 KB
  24. RNN Summary-nXP0oGGRrO8.mp4 7.26 MB
  24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt 6.19 KB
  24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt 4.89 KB
  24. RNN Summary.html 13.56 KB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt 5.76 KB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 36.16 MB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.pt-BR.vtt 6.64 KB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt 5.32 KB
  25. From RNN to LSTM.html 9.83 KB
  26. Wrap Up.html 7.5 KB
  img
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  index.html 5.46 KB
  Part 09-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)
  01. Intro to LSTM.html 6.44 KB
  02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.71 KB
  02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.58 MB
  02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.24 KB
  02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.22 KB
  02. RNN vs LSTM.html 5.66 KB
  03. Basics of LSTM.html 5.67 KB
  03. LSTM Basics-gjb68a4XsqE.en.vtt 5.21 KB
  03. LSTM Basics-gjb68a4XsqE.mp4 4.03 MB
  03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.06 KB
  03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.59 KB
  04. Architecture of LSTM.html 5.71 KB
  04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.49 KB
  04. LSTM Architecture-ycwthhdx8ws.mp4 1.07 MB
  04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.46 KB
  04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt 1.34 KB
  05. Learn Gate-aVHVI7ovbHY.en.vtt 2.63 KB
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  07. The Remember Gate.html 6.08 KB
  08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.75 KB
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  08. The Use Gate.html 6.3 KB
  09. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.42 KB
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  09. Putting it All Together.html 5.75 KB
  10. Quiz.html 7.32 KB
  11. Other Architectures-MsxFDuYlTuQ.en.vtt 2.31 KB
  11. Other Architectures-MsxFDuYlTuQ.mp4 1.71 MB
  11. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.45 KB
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  11. Other architectures.html 6.12 KB
  12. Outro LSTM.html 5.64 KB
  img
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  index.html 4.26 KB
  Part 09-Module 01-Lesson 03_Implementation of RNN and LSTM
  01. Intro.html 5.99 KB
  02. Character-Wise RNN-dXl3eWCGLdU.en.vtt 3.33 KB
  02. Character-Wise RNN-dXl3eWCGLdU.mp4 2.88 MB
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  02. Character-wise RNNs.html 5.9 KB
  03. Sequence Batching.html 5.89 KB
  03. Sequence-Batching-Z4OiyU0Cldg.en.vtt 2.09 KB
  03. Sequence-Batching-Z4OiyU0Cldg.mp4 2.29 MB
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  03. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt 1.92 KB
  04. Character-wise RNN Notebook.html 6.2 KB
  05. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt 9.94 KB
  05. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4 13.63 MB
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  05. Implementing a Character-wise RNN.html 6 KB
  06. Batching Data Solution-o3nBxHJLQcc.en.vtt 4.31 KB
  06. Batching Data Solution-o3nBxHJLQcc.mp4 5.08 MB
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  06. Batching Data Solution.html 5.93 KB
  07. LSTM Cell-ajC-5uWB8S4.en.vtt 6.06 KB
  07. LSTM Cell-ajC-5uWB8S4.mp4 7.79 MB
  07. LSTM Cell-ajC-5uWB8S4.pt-BR.vtt 6.21 KB
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  07. LSTM Cell.html 5.84 KB
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  09. RNN Output-RkanDkcrTxs.en.vtt 5.73 KB
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  09. RNN Output-RkanDkcrTxs.pt-BR.vtt 5.64 KB
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  10. Network Loss-itu-uNK4brc.en.vtt 3.08 KB
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  10. Network Loss-itu-uNK4brc.pt-BR.vtt 3.16 KB
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  12. Build The Network-RVNjDlWTBQU.en.vtt 4.09 KB
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  img
  screen-shot-2017-11-30-at-1.34.44-pm.png 180.65 KB
  index.html 4.42 KB
  Part 09-Module 01-Lesson 04_Hyperparameters
  01. Introducing Jay.html 5.82 KB
  02. Introduction-erwnzFD7AeE.en.vtt 2.34 KB
  02. Introduction-erwnzFD7AeE.mp4 2.22 MB
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  02. Introduction.html 5.56 KB
  03. Learning Rate-HLMjeDez7ps.en.vtt 11.68 KB
  03. Learning Rate-HLMjeDez7ps.mp4 9.62 MB
  03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.29 KB
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  03. Learning Rate.html 6.12 KB
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  05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.36 KB
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  06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.63 KB
  06. Number Of Iterations-TTdHpSb4DV8.mp4 1.46 MB
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  08. RNN Hyperparameters.html 11.81 KB
  09. RNN Hyperparameters.html 6.55 KB
  10. Sources References.html 6.57 KB
  img
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  index.html 4.18 KB
  Part 09-Module 01-Lesson 05_Embeddings and Word2vec
  01. Embeddings Intro.html 6.91 KB
  02. Implementing Word2Vec-7M431_f9HgE.en.vtt 16.86 KB
  02. Implementing Word2Vec-7M431_f9HgE.mp4 23.33 MB
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  02. Implementing Word2Vec.html 5.52 KB
  03. Subsampling Solution-MAUM_mV_lj8.en.vtt 5.99 KB
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  03. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt 6.27 KB
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  03. Subsampling Solution.html 5.51 KB
  04. Making Batches-jx7qwdw-94k.en.vtt 4.5 KB
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  04. Making Batches-jx7qwdw-94k.pt-BR.vtt 4.51 KB
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  05. Batches Solution-DdfR0RjSC-Q.en.vtt 2.64 KB
  05. Batches Solution-DdfR0RjSC-Q.mp4 3.88 MB
  05. Batches Solution-DdfR0RjSC-Q.pt-BR.vtt 2.5 KB
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  05. Batches Solution.html 5.48 KB
  06. Building The Network-fhSb5c6UX6M.en.vtt 5.14 KB
  06. Building The Network-fhSb5c6UX6M.mp4 8.09 MB
  06. Building The Network-fhSb5c6UX6M.pt-BR.vtt 4.88 KB
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  06. Building the Network.html 5.51 KB
  07. Negative Sampling-gW17AHBKbHY.en.vtt 2.55 KB
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  07. Negative Sampling-gW17AHBKbHY.pt-BR.vtt 2.36 KB
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  07. Negative Sampling.html 5.49 KB
  08. Building The Network Solution-pkBAhQ2Ki-8.en.vtt 4.06 KB
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  09. Training Results-uISA5ns47s8.en.vtt 4.36 KB
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  img
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  index.html 4.11 KB
  Part 09-Module 01-Lesson 06_Sentiment Prediction RNN
  01. Intro.html 6.34 KB
  02. Sentiment Prediction-uGN3rZJRiMY.en.vtt 8.66 KB
  02. Sentiment Prediction-uGN3rZJRiMY.mp4 11.25 MB
  02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt 7.33 KB
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  02. Sentiment RNN.html 5.24 KB
  03. Data Preprocessing-h4-LwZU9_k8.en.vtt 5.33 KB
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  04. Creating Testing Sets-BRBbrNLz1ho.en.vtt 2.02 KB
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  05. Building The RNN 1-XTD6slf64fM.en.vtt 13.87 KB
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  06. Training The Network-nknJ3Xu3ld0.en.vtt 6.38 KB
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  07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt 15.77 KB
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  07. Solutions.html 5.21 KB
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  Part 10-Module 01-Lesson 01_Generative Adversarial Networks
  01. GANs Intro-F7XgI6TmaGI.en-US.vtt 1.57 KB
  01. GANs Intro-F7XgI6TmaGI.en.vtt 1.32 KB
  01. GANs Intro-F7XgI6TmaGI.mp4 3.24 MB
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  01. Introducing Ian Goodfellow.html 6.55 KB
  02. Cool Things To Do With GANs-bo-ToTdhgew.en.vtt 7.34 KB
  02. Cool Things To Do With GANs-bo-ToTdhgew.mp4 11.98 MB
  02. Cool Things To Do With GANs-bo-ToTdhgew.pt-BR.vtt 6.86 KB
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  02. What can you do with GANs.html 6.52 KB
  03. How GANs work.html 6.82 KB
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  04. Games and Equilibria.html 6.57 KB
  04. Games, Equilibrium, GANs Solution Render-2zi8DOWIVas.en.vtt 10.72 KB
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  05. GANs Architecture -gaEs7ccZv_Q.en.vtt 11.75 KB
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  05. Practical tips and tricks for training GANs.html 6.51 KB
  06. Build a GAN.html 7.21 KB
  07. Get started with a GAN.html 6.5 KB
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  08. Generator Network-btHVXnICmzQ.en.vtt 6.74 KB
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  09. Discriminator Network-nWXxT8OqCfs.en.vtt 1.09 KB
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  09. Discriminator Network.html 6.48 KB
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  11. Building the Network-5sZkRSHfiAE.en.vtt 3.83 KB
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  13. Training Losses-IaAeDrXMEcU.en.vtt 3.76 KB
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  14. Training Optimizers.html 6.47 KB
  15. Training Losses and Optimizers Solution.html 6.61 KB
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  16. A Trained GAN-TR-uEJcjig4.en.vtt 9.95 KB
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  img
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  Part 10-Module 01-Lesson 02_Deep Convolutional GANs
  01. Deep Convolutional GANs.html 6.69 KB
  02. DCGAN Architecture.html 5.62 KB
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  03. Batch Normalization.html 6.56 KB
  04. DCGAN Implementation.html 6.19 KB
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  06. Generator Solution-jyPwUEZg05Q.en.vtt 3.79 KB
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  07. Discriminator-XRqOUbf96eI.en.vtt 3.08 KB
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  Part 10-Module 01-Lesson 03_Semi-Supervised Learning
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  Part 11-Module 01-Lesson 01_Introduction to RL
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  Part 11-Module 01-Lesson 02_The RL Framework The Problem
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  07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt 3.25 KB
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  Part 11-Module 01-Lesson 03_The RL Framework The Solution
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  Part 11-Module 01-Lesson 04_Dynamic Programming
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  02. OpenAI Gym FrozenLakeEnv.html 10.42 KB
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  04. Another Gridworld Example-n9SbomnLb-U.en.vtt 2.04 KB
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  05. An Iterative Method, Part 1.html 7.4 KB
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  Part 11-Module 01-Lesson 05_Monte Carlo Methods
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  Part 11-Module 01-Lesson 06_Temporal-Difference Methods
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  Part 11-Module 01-Lesson 07_Solve OpenAI Gym's Taxi-v2 Task
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  02. Instructions.html 11.03 KB
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  Part 11-Module 01-Lesson 09_Deep Q-Learning
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  Part 11-Module 01-Lesson 11_Actor-Critic Methods
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Description


Udacity - Deep Learning Foundation Nanodegree Download

Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to produce amazing solutions to important challenges.

Why Take This Nanodegree Program?

In this program, you’ll cover Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. You’ll use PyTorch, and have access to GPUs to train models faster. You'll learn from authorities like Sebastian Thrun, Ian Goodfellow, Jun-Yan Zhu, and Andrew Trask. This is the ideal point-of-entry into the field of AI.
Expert Instructors

Learn practical skills taught by deep learning experts including Sebastian Thrun, Ian Goodfellow, Andrew Trask, and the Udacity Deep Learning Team.

Unique Projects, Personalized Feedback

Work on five specially-designed deep learning projects, and receive detailed feedback on each from our mentors.

Deploy Your Own Sentiment Analysis Model

You’ll get hands-on experience deploying and monitoring a model using PyTorch and Amazon SageMaker. By teaching these essential skills, we are preparing our students to be indispensable members of AI product teams.

Guaranteed Admission

Successfully complete the program, and receive guaranteed admission to our Self-Driving Car Engineer, Artificial Intelligence, or Flying Cars and Autonomous Flight Nanodegree programs, subject to your payment of costs of enrollment!

Guaranteed Admission

As a graduate, you earn guaranteed admission, subject to your payment of program enrollment costs, into one of two advanced Nanodegree programs. You’ll continue to explore even more deep learning projects alongside groundbreaking new curriculum built with our pioneering industry collaborators. Note that we recommend some C++ knowledge to get the most out of these programs.
What You Will Learn

This program has been created specifically for students who are interested in machine learning, AI, and/or deep learning, and who have a working knowledge of Python programming, including numpy and pandas. Outside of that Python expectation and some familiarity with calculus and linear algebra, it's a very beginner-friendly program.

Introduction

Get your first taste of deep learning by applying style transfer to your own images, and gain experience using development tools such as Anaconda and Jupyter notebooks.

Neural Networks

Learn neural networks basics, and build your first network with Python and Numpy. Use modern deep learning frameworks (Keras, TensorFlow) to build multi-layer neural networks, and analyze real data.

Convolutional Neural Networks

Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on objects that appear in them. Use these networks to learn data compression and image denoising.

Recurrent Neural Networks

Build your own recurrent networks and long short-term memory networks with Keras and TensorFlow; perform sentiment analysis and generate new text. Use recurrent networks to generate new text from TV scripts.

Generative Adversarial Networks

Learn to understand and implement the DCGAN model to simulate realistic images, with Ian Goodfellow, the inventor of GANS (generative adversarial networks).

Deep Reinforcement Learning

Use deep neural networks to design agents that can learn to take actions in a simulated environment. Apply reinforcement learning to complex control tasks like video games and robotics.



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