| 1. Introduction and Outline | |||
| 1. Outline - what did you learn previously, and what will you learn in this course.mp4 | 14.43 MB | ||
| 1. Outline - what did you learn previously, and what will you learn in this course.vtt | 9.77 KB | ||
| 2. Where does this course fit into your deep learning studies.mp4 | 6 MB | ||
| 2. Where does this course fit into your deep learning studies.vtt | 5.02 KB | ||
| 10. Transition to the 2nd Half of the Course | |||
| 1. Transition to the 2nd Half of the Course.mp4 | 9.45 MB | ||
| 1. Transition to the 2nd Half of the Course.vtt | 5.83 KB | ||
| 11. Project Facial Expression Recognition | |||
| 1. Facial Expression Recognition Project Introduction.mp4 | 9.82 MB | ||
| 1. Facial Expression Recognition Project Introduction.vtt | 5.69 KB | ||
| 2. Facial Expression Recognition Problem Description.mp4 | 21.44 MB | ||
| 2. Facial Expression Recognition Problem Description.vtt | 14.31 KB | ||
| 3. The class imbalance problem.mp4 | 10.11 MB | ||
| 3. The class imbalance problem.vtt | 7.16 KB | ||
| 4. Utilities walkthrough.mp4 | 13.49 MB | ||
| 4. Utilities walkthrough.vtt | 5.24 KB | ||
| 5. Class-Based ANN in Theano.mp4 | 43.98 MB | ||
| 5. Class-Based ANN in Theano.vtt | 13.38 KB | ||
| 6. Class-Based ANN in TensorFlow.mp4 | 37.39 MB | ||
| 6. Class-Based ANN in TensorFlow.vtt | 11.54 KB | ||
| 7. Facial Expression Recognition Project Summary.mp4 | 2.91 MB | ||
| 7. Facial Expression Recognition Project Summary.vtt | 1.47 KB | ||
| 12. Modern Regularization Techniques | |||
| 1. Modern Regularization Techniques Section Introduction.mp4 | 4.27 MB | ||
| 1. Modern Regularization Techniques Section Introduction.vtt | 2.67 KB | ||
| 2. Dropout Regularization.mp4 | 22.7 MB | ||
| 2. Dropout Regularization.vtt | 12.67 KB | ||
| 3. Dropout Intuition.mp4 | 6.14 MB | ||
| 3. Dropout Intuition.vtt | 4.02 KB | ||
| 4. Noise Injection.mp4 | 8.64 MB | ||
| 4. Noise Injection.vtt | 6.15 KB | ||
| 5. Modern Regularization Techniques Section Summary.mp4 | 3.88 MB | ||
| 5. Modern Regularization Techniques Section Summary.vtt | 2.36 KB | ||
| 13. Batch Normalization | |||
| 1. Batch Normalization Introduction.mp4 | 3.51 MB | ||
| 1. Batch Normalization Introduction.vtt | 2.23 KB | ||
| 2. Exponentially-Smoothed Averages.mp4 | 7.38 MB | ||
| 2. Exponentially-Smoothed Averages.vtt | 4.8 KB | ||
| 3. Batch Normalization Theory.mp4 | 18.61 MB | ||
| 3. Batch Normalization Theory.vtt | 12.37 KB | ||
| 4. Batch Normalization Tensorflow (part 1).mp4 | 9.44 MB | ||
| 4. Batch Normalization Tensorflow (part 1).vtt | 5.92 KB | ||
| 5. Batch Normalization Tensorflow (part 2).mp4 | 14.92 MB | ||
| 5. Batch Normalization Tensorflow (part 2).vtt | 5.92 KB | ||
| 6. Batch Normalization Theano (part 1).mp4 | 7.65 MB | ||
| 6. Batch Normalization Theano (part 1).vtt | 4.82 KB | ||
| 7. Batch Normalization Theano (part 2).mp4 | 16.54 MB | ||
| 7. Batch Normalization Theano (part 2).vtt | 6.98 KB | ||
| 8. Noise Perspective.mp4 | 3.15 MB | ||
| 8. Noise Perspective.vtt | 2.22 KB | ||
| 9. Batch Normalization Summary.mp4 | 2.6 MB | ||
| 9. Batch Normalization Summary.vtt | 1.87 KB | ||
| 14. Keras | |||
| 1. Keras Discussion.mp4 | 11.25 MB | ||
| 1. Keras Discussion.vtt | 8.05 KB | ||
| 2. Keras in Code.mp4 | 14.76 MB | ||
| 2. Keras in Code.vtt | 6.46 KB | ||
| 3. Keras Functional API.mp4 | 38.63 MB | ||
| 3. Keras Functional API.vtt | 4.7 KB | ||
| 15. PyTorch | |||
| 1. PyTorch Basics.mp4 | 116.8 MB | ||
| 1. PyTorch Basics.vtt | 12.89 KB | ||
| 2. PyTorch Dropout.mp4 | 32.69 MB | ||
| 2. PyTorch Dropout.vtt | 2.62 KB | ||
| 3. PyTorch Batch Norm.mp4 | 33.85 MB | ||
| 3. PyTorch Batch Norm.vtt | 2.61 KB | ||
| 16. PyTorch, CNTK, and MXNet | |||
| 1. PyTorch, CNTK, and MXNet.mp4 | 1.31 MB | ||
| 1. PyTorch, CNTK, and MXNet.vtt | 947 B | ||
| 17. Appendix | |||
| 1. What is the Appendix.mp4 | 5.45 MB | ||
| 1. What is the Appendix.vtt | 3.28 KB | ||
| 10. Proof that using Jupyter Notebook is the same as not using it.mp4 | 78.29 MB | ||
| 10. Proof that using Jupyter Notebook is the same as not using it.vtt | 12.22 KB | ||
| 11. How to Uncompress a .tar.gz file.mp4 | 5.43 MB | ||
| 11. How to Uncompress a .tar.gz file.vtt | 3.66 KB | ||
| 12. Python 2 vs Python 3.mp4 | 7.83 MB | ||
| 12. Python 2 vs Python 3.vtt | 5.35 KB | ||
| 13. What order should I take your courses in (part 1).mp4 | 29.33 MB | ||
| 13. What order should I take your courses in (part 1).vtt | 14.09 KB | ||
| 14. What order should I take your courses in (part 2).mp4 | 37.62 MB | ||
| 14. What order should I take your courses in (part 2).vtt | 20.24 KB | ||
| 2. What's the difference between neural networks and deep learning.mp4 | 45.12 MB | ||
| 2. What's the difference between neural networks and deep learning.vtt | 8.91 KB | ||
| 3. Manually Choosing Learning Rate and Regularization Penalty.mp4 | 7.77 MB | ||
| 3. Manually Choosing Learning Rate and Regularization Penalty.vtt | 5.03 KB | ||
| 4. Windows-Focused Environment Setup 2018.mp4 | 186.34 MB | ||
| 4. Windows-Focused Environment Setup 2018.vtt | 17.39 KB | ||
| 5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 | 43.92 MB | ||
| 5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt | 12.4 KB | ||
| 6. How to Succeed in this Course (Long Version).mp4 | 12.99 MB | ||
| 6. How to Succeed in this Course (Long Version).vtt | 12.86 KB | ||
| 7. How to Code by Yourself (part 1).mp4 | 24.54 MB | ||
| 7. How to Code by Yourself (part 1).vtt | 19.78 KB | ||
| 8. How to Code by Yourself (part 2).mp4 | 14.81 MB | ||
| 8. How to Code by Yourself (part 2).vtt | 11.62 KB | ||
| 9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 | 38.96 MB | ||
| 9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt | 27.77 KB | ||
| 2. Review | |||
| 1. Review of Basic Concepts.mp4 | 23.36 MB | ||
| 1. Review of Basic Concepts.vtt | 16.04 KB | ||
| 2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 | 11.12 MB | ||
| 2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt | 4.19 KB | ||
| 3. Gradient Descent Full vs Batch vs Stochastic | |||
| 1. What are full, batch, and stochastic gradient descent.mp4 | 5.83 MB | ||
| 1. What are full, batch, and stochastic gradient descent.vtt | 3.54 KB | ||
| 2. Full vs Batch vs Stochastic Gradient Descent in code.mp4 | 13.99 MB | ||
| 2. Full vs Batch vs Stochastic Gradient Descent in code.vtt | 5.81 KB | ||
| 4. Momentum and adaptive learning rates | |||
| 1. Using Momentum to Speed Up Training.mp4 | 10.67 MB | ||
| 1. Using Momentum to Speed Up Training.vtt | 6.86 KB | ||
| 2. Nesterov Momentum.mp4 | 10.64 MB | ||
| 2. Nesterov Momentum.vtt | 6.75 KB | ||
| 3. Momentum in Code.mp4 | 14.44 MB | ||
| 3. Momentum in Code.vtt | 5.49 KB | ||
| 4. Variable and adaptive learning rates.mp4 | 18.92 MB | ||
| 4. Variable and adaptive learning rates.vtt | 13.2 KB | ||
| 5. Constant learning rate vs. RMSProp in Code.mp4 | 10.98 MB | ||
| 5. Constant learning rate vs. RMSProp in Code.vtt | 3.79 KB | ||
| 6. Adam Optimization.mp4 | 19.33 MB | ||
| 6. Adam Optimization.vtt | 11.88 KB | ||
| 7. Adam in Code.mp4 | 13.9 MB | ||
| 7. Adam in Code.vtt | 5.97 KB | ||
| 5. Choosing Hyperparameters | |||
| 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 | 5.1 MB | ||
| 1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt | 4.08 KB | ||
| 2. Sampling Logarithmically.mp4 | 5.24 MB | ||
| 2. Sampling Logarithmically.vtt | 3.39 KB | ||
| 3. Grid Search in Code.mp4 | 13.77 MB | ||
| 3. Grid Search in Code.vtt | 8.15 KB | ||
| 4. Modifying Grid Search.mp4 | 2.18 MB | ||
| 4. Modifying Grid Search.vtt | 1.55 KB | ||
| 5. Random Search in Code.mp4 | 7.94 MB | ||
| 5. Random Search in Code.vtt | 4.27 KB | ||
| 6. Weight Initialization | |||
| 1. Weight Initialization Section Introduction.mp4 | 1.52 MB | ||
| 1. Weight Initialization Section Introduction.vtt | 1.06 KB | ||
| 2. Vanishing and Exploding Gradients.mp4 | 9.99 MB | ||
| 2. Vanishing and Exploding Gradients.vtt | 6.95 KB | ||
| 3. Weight Initialization.mp4 | 13.6 MB | ||
| 3. Weight Initialization.vtt | 9.11 KB | ||
| 4. Local vs. Global Minima.mp4 | 5.12 MB | ||
| 4. Local vs. Global Minima.vtt | 3.09 KB | ||
| 5. Weight Initialization Section Summary.mp4 | 2.69 MB | ||
| 5. Weight Initialization Section Summary.vtt | 1.86 KB | ||
| 7. Theano | |||
| 1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 | 19.35 MB | ||
| 1. Theano Basics Variables, Functions, Expressions, Optimization.vtt | 7.03 KB | ||
| 2. Building a neural network in Theano.mp4 | 21.79 MB | ||
| 2. Building a neural network in Theano.vtt | 3.96 KB | ||
| 3. Is Theano Dead.mp4 | 17.81 MB | ||
| 3. Is Theano Dead.vtt | 11.3 KB | ||
| 8. TensorFlow | |||
| 1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 | 17.11 MB | ||
| 1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt | 5.65 KB | ||
| 2. Building a neural network in TensorFlow.mp4 | 23.84 MB | ||
| 2. Building a neural network in TensorFlow.vtt | 5.39 KB | ||
| 3. What is a Session (And more).mp4 | 23.56 MB | ||
| 3. What is a Session (And more).vtt | 16.01 KB | ||
| 9. GPU Speedup, Homework, and Other Misc Topics | |||
| 1. Setting up a GPU Instance on Amazon Web Services.mp4 | 25.68 MB | ||
| 1. Setting up a GPU Instance on Amazon Web Services.vtt | 4.2 KB | ||
| 2. Can Big Data be used to Speed Up Backpropagation.mp4 | 5.22 MB | ||
| 2. Can Big Data be used to Speed Up Backpropagation.vtt | 3.86 KB | ||
| 3. Exercises and Concepts Still to be Covered.mp4 | 4.46 MB | ||
| 3. Exercises and Concepts Still to be Covered.vtt | 2.64 KB | ||
| 4. How to Improve your Theano and Tensorflow Skills.mp4 | 7.33 MB | ||
| 4. How to Improve your Theano and Tensorflow Skills.vtt | 5.42 KB | ||
| 5. Theano vs. TensorFlow.mp4 | 9.14 MB | ||
| 5. Theano vs. TensorFlow.vtt | 7.47 KB | ||
| [Tutorialsplanet.NET].url | 128 B | ||
| ▲ 155 total files | |||
Udemy - Modern Deep Learning In Python [TP]
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
For more Udemy Courses: https://tutorialsplanet.net
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