Udemy - Data Science: Deep Learning in Python

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Udemy - Data Science: Deep Learning in Python (Size: 1.4 GB)
  1. Backpropagation Supplementary Lectures Introduction.mp4 1.7 MB
  1. Backpropagation Supplementary Lectures Introduction.vtt 1.4 KB
  1. Facial Expression Recognition Project Introduction.mp4 9.8 MB
  1. Facial Expression Recognition Project Introduction.vtt 6.1 KB
  1. Introduction and Outline.mp4 6.1 MB
  1. Introduction and Outline.vtt 6.2 KB
  1. Neural Networks with No Math.mp4 7.3 MB
  1. Neural Networks with No Math.vtt 6.5 KB
  1. Practical Issues Section Introduction and Outline.mp4 2.7 MB
  1. Practical Issues Section Introduction and Outline.vtt 2.3 KB
  1. Prediction Section Introduction and Outline.mp4 9 MB
  1. Prediction Section Introduction and Outline.vtt 7.7 KB
  1. Review Section Introduction.mp4 12.5 MB
  1. Review Section Introduction.vtt 2.6 KB
  1. TensorFlow plug-and-play example.mp4 15.9 MB
  1. TensorFlow plug-and-play example.vtt 7.3 KB
  1. Training Section Introduction and Outline.mp4 4.4 MB
  1. Training Section Introduction and Outline.vtt 4 KB
  1. What is the Appendix.mp4 5.5 MB
  1. What is the Appendix.vtt 3.4 KB
  10. Building an entire feedforward neural network in Python.mp4 13.9 MB
  10. Building an entire feedforward neural network in Python.vtt 5.1 KB
  10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4 20.3 MB
  10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt 6.5 KB
  10. How to Uncompress a .tar.gz file.mp4 5.4 MB
  10. How to Uncompress a .tar.gz file.vtt 3.9 KB
  11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4 MB
  11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 3.3 KB
  11. E-Commerce Course Project Pre-Processing the Data.mp4 11.2 MB
  11. E-Commerce Course Project Pre-Processing the Data.vtt 5.3 KB
  11. E-Commerce Course Project Training a Neural Network.mp4 15.5 MB
  11. E-Commerce Course Project Training a Neural Network.vtt 4.7 KB
  12. E-Commerce Course Project Making Predictions.mp4 7.6 MB
  12. E-Commerce Course Project Making Predictions.vtt 3.5 KB
  12. Python 2 vs Python 3.mp4 7.8 MB
  12. Python 2 vs Python 3.vtt 5.9 KB
  12. Training Quiz.mp4 8.3 MB
  12. Training Quiz.vtt 6.6 KB
  13. Prediction Quizzes.mp4 5.1 MB
  13. Prediction Quizzes.vtt 4.2 KB
  13. Training Section Summary.mp4 4.1 MB
  13. Training Section Summary.vtt 3.7 KB
  13. Where does this course fit into your deep learning studies (Old Version).mp4 8.5 MB
  13. Where does this course fit into your deep learning studies (Old Version).vtt 7.4 KB
  14. Prediction Section Summary.mp4 2.8 MB
  14. Prediction Section Summary.vtt 2.6 KB
  14. What order should I take your courses in (part 1).mp4 29.3 MB
  14. What order should I take your courses in (part 1).vtt 15.2 KB
  15. What order should I take your courses in (part 2).mp4 37.6 MB
  15. What order should I take your courses in (part 2).vtt 22.3 KB
  2. Donut and XOR Review.mp4 1.8 MB
  2. Donut and XOR Review.vtt 1.5 KB
  2. Facial Expression Recognition Problem Description.mp4 21.4 MB
  2. Facial Expression Recognition Problem Description.vtt 15.7 KB
  2. From Logistic Regression to Neural Networks.mp4 8.6 MB
  2. From Logistic Regression to Neural Networks.vtt 6.9 KB
  2. Introduction to the E-Commerce Course Project.mp4 14.8 MB
  2. Introduction to the E-Commerce Course Project.vtt 13.2 KB
  2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 43.3 MB
  2. Visualizing what a neural network has learned using TensorFlow Playground.vtt 9.3 KB
  2. What do all these symbols and letters mean.mp4 14.6 MB
  2. What do all these symbols and letters mean.vtt 13.4 KB
  2. What does machine learning do.mp4 25.6 MB
  2. What does machine learning do.vtt 7.2 KB
  2. What's the difference between neural networks and deep learning.mp4 14.8 MB
  2. What's the difference between neural networks and deep learning.vtt 9.7 KB
  2. Where does this course fit into your deep learning studies.mp4 54.1 MB
  2. Where does this course fit into your deep learning studies.vtt 14.3 KB
  2. Why Learn the Ins and Outs of Backpropagation.mp4 15.6 MB
  2. Why Learn the Ins and Outs of Backpropagation.vtt 11.6 KB
  3. Donut and XOR Revisited.mp4 14 MB
  3. Donut and XOR Revisited.vtt 4.3 KB
  3. Gradient Descent Tutorial.mp4 22.8 MB
  3. Gradient Descent Tutorial.vtt 5.2 KB
  3. Interpreting the Weights of a Neural Network.mp4 12.5 MB
  3. Interpreting the Weights of a Neural Network.vtt 9.7 KB
  3. Neuron Predictions.mp4 24.5 MB
  3. Neuron Predictions.vtt 5.6 KB
  3. The class imbalance problem.mp4 10.1 MB
  3. The class imbalance problem.vtt 7.4 KB
  3. What does it mean to train a neural network.mp4 9.7 MB
  3. What does it mean to train a neural network.vtt 9 KB
  3. Where to get the code.mp4 23.4 MB
  3. Where to get the code.vtt 5.7 KB
  3. Where to go from here.mp4 6.1 MB
  3. Where to go from here.vtt 5.6 KB
  3. Windows-Focused Environment Setup 2018.mp4 186.4 MB
  3. Windows-Focused Environment Setup 2018.vtt 18.9 KB
  4. Help with Softmax Derivative.mp4 6.3 MB
  4. Help with Softmax Derivative.vtt 4.9 KB
  4. How to Brace Yourself to Learn Backpropagation.mp4 37.3 MB
  4. How to Brace Yourself to Learn Backpropagation.vtt 9.3 KB
  4. How to Succeed in this Course.mp4 17.4 MB
  4. How to Succeed in this Course.vtt 3.7 KB
  4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
  4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 14 KB
  4. Neural Networks for Regression.mp4 25.4 MB
  4. Neural Networks for Regression.vtt 12.3 KB
  4. Neuron Training.mp4 38.5 MB
  4. Neuron Training.vtt 10.9 KB
  4. Softmax.mp4 4.6 MB
  4. Softmax.vtt 3.9 KB
  4. Utilities walkthrough.mp4 13.5 MB
  4. Utilities walkthrough.vtt 5.4 KB
  4. You know more than you think you know.mp4 8.2 MB
  4. You know more than you think you know.vtt 6.9 KB
  5. Backpropagation Intro.mp4 19.1 MB
  5. Backpropagation Intro.vtt 7.8 KB
  5. Backpropagation with Softmax Troubleshooting.mp4 18.2 MB
  5. Backpropagation with Softmax Troubleshooting.vtt 15 KB
  5. Common nonlinearities and their derivatives.mp4 2.4 MB
  5. Common nonlinearities and their derivatives.vtt 1.8 KB
  5. Deep Learning Readiness Test.mp4 8.6 MB
  5. Deep Learning Readiness Test.vtt 7.5 KB
  5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 25.2 MB
  5. Facial Expression Recognition in Code (Binary Sigmoid).vtt 8.8 KB
  5. How to Code by Yourself (part 1).mp4 24.5 MB
  5. How to Code by Yourself (part 1).vtt 21.3 KB
  5. How to get good at deep learning + exercises.mp4 9.5 MB
  5. How to get good at deep learning + exercises.vtt 7.5 KB
  5. Sigmoid vs. Softmax.mp4 2.4 MB
  5. Sigmoid vs. Softmax.vtt 1.8 KB
  6. Backpropagation - what does the weight update depend on.mp4 10.1 MB
  6. Backpropagation - what does the weight update depend on.vtt 3.3 KB
  6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14.1 MB
  6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.vtt 11.6 KB
  6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp4 19.8 MB
  6. Facial Expression Recognition in Code (Logistic Regression Softmax).vtt 6.8 KB
  6. Feedforward in Slow-Mo (part 1).mp4 30.3 MB
  6. Feedforward in Slow-Mo (part 1).vtt 26.5 KB
  6. How to Code by Yourself (part 2).mp4 14.8 MB
  6. How to Code by Yourself (part 2).vtt 12.4 KB
  6. Practical Considerations for Choosing Activation Functions.mp4 12.4 MB
  6. Practical Considerations for Choosing Activation Functions.vtt 10.1 KB
  6. Review Section Summary.mp4 14 MB
  6. Review Section Summary.vtt 4.9 KB
  7. Backpropagation - recursiveness.mp4 11.2 MB
  7. Backpropagation - recursiveness.vtt 2.2 KB
  7. Facial Expression Recognition in Code (ANN Softmax).mp4 23.5 MB
  7. Facial Expression Recognition in Code (ANN Softmax).vtt 8.6 KB
  7. Feedforward in Slow-Mo (part 2).mp4 16.7 MB
  7. Feedforward in Slow-Mo (part 2).vtt 14.3 KB
  7. How to Succeed in this Course (Long Version).mp4 13 MB
  7. How to Succeed in this Course (Long Version).vtt 13.7 KB
  7. Hyperparameters and Cross-Validation.mp4 7 MB
  7. Hyperparameters and Cross-Validation.vtt 6.2 KB
  8. Backpropagation in code.mp4 46.3 MB
  8. Backpropagation in code.vtt 13.2 KB
  8. Facial Expression Recognition Project Summary.mp4 2.9 MB
  8. Facial Expression Recognition Project Summary.vtt 1.6 KB
  8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39 MB
  8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 29.9 KB
  8. Manually Choosing Learning Rate and Regularization Penalty.mp4 7.8 MB
  8. Manually Choosing Learning Rate and Regularization Penalty.vtt 5.5 KB
  8. Where to get the code for this course.mp4 3 MB
  8. Where to get the code for this course.vtt 2 KB
  9. Practical Issues Section Summary.mp4 9.6 MB
  9. Practical Issues Section Summary.vtt 8.8 KB
  9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
  9. Proof that using Jupyter Notebook is the same as not using it.vtt 13.2 KB
  9. Softmax in Code.mp4 7.8 MB
  9. Softmax in Code.vtt 3.7 KB
  9. The WRONG Way to Learn Backpropagation.mp4 6.8 MB
  9. The WRONG Way to Learn Backpropagation.vtt 5.4 KB
  [FreeCourseLab.com].url 102.4 B
  ▲ 165 total files

Description


Udemy - Data Science: Deep Learning in Python

The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow.

For more Udemy Courses: https://freecourselab.com

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