| 1. Google Colaboratory GPU notebook setup.html | 1.9 KB | ||
| 1. Section 2 Intro.mp4 | 22.3 MB | ||
| 1. Section 2 Intro.vtt | 1 KB | ||
| 1. Section 3 Intro.mp4 | 39 MB | ||
| 1. Section 3 Intro.vtt | 2 KB | ||
| 1. Section 4 Intro.mp4 | 30.9 MB | ||
| 1. Section 4 Intro.vtt | 1.5 KB | ||
| 1. Section 5 Intro.mp4 | 30.8 MB | ||
| 1. Section 5 Intro.vtt | 1.5 KB | ||
| 1. Section 6 Intro.mp4 | 35.4 MB | ||
| 1. Section 6 Intro.vtt | 1.6 KB | ||
| 1. Section 8 Intro.mp4 | 24.5 MB | ||
| 1. Section 8 Intro.vtt | 1.1 KB | ||
| 1. Section 9 Intro.mp4 | 19.2 MB | ||
| 1. Section 9 Intro.vtt | 1 KB | ||
| 1. Welcome to the course!.mp4 | 27.4 MB | ||
| 1. Welcome to the course!.vtt | 1.6 KB | ||
| 10. Convolution in 2 D.mp4 | 6.7 MB | ||
| 10. Convolution in 2 D.vtt | 3.2 KB | ||
| 10. Evaluating Performance code along.mp4 | 10.3 MB | ||
| 10. Evaluating Performance code along.vtt | 4.3 KB | ||
| 10. Exercise 1 Presentation.mp4 | 10.7 MB | ||
| 10. Exercise 1 Presentation.vtt | 1.2 KB | ||
| 10. Exercise 1 Solution.mp4 | 9.4 MB | ||
| 10. Exercise 1 Solution.vtt | 3.1 KB | ||
| 10. Image Generator code along.mp4 | 15.3 MB | ||
| 10. Image Generator code along.vtt | 5.4 KB | ||
| 10. Learning Rate code along.mp4 | 33.2 MB | ||
| 10. Learning Rate code along.vtt | 7.8 KB | ||
| 11. Classification.mp4 | 14.2 MB | ||
| 11. Classification.vtt | 7.6 KB | ||
| 11. Exercise 1 Solution.mp4 | 8 MB | ||
| 11. Exercise 1 Solution.vtt | 1.9 KB | ||
| 11. Exercise 2 Presentation.mp4 | 1.9 MB | ||
| 11. Exercise 2 Presentation.vtt | 1.1 KB | ||
| 11. Gradient Descent.mp4 | 6.4 MB | ||
| 11. Gradient Descent.vtt | 6.4 MB | ||
| 11. Hyperparameter search.mp4 | 7.2 MB | ||
| 11. Hyperparameter search.vtt | 3.9 KB | ||
| 11. Image Filters code along.mp4 | 6.4 MB | ||
| 11. Image Filters code along.vtt | 2.1 KB | ||
| 12. Classification code along.mp4 | 22.9 MB | ||
| 12. Classification code along.vtt | 7.3 KB | ||
| 12. Convolutional Layers.mp4 | 12.3 MB | ||
| 12. Convolutional Layers.vtt | 5.8 KB | ||
| 12. Embeddings.mp4 | 6.5 MB | ||
| 12. Embeddings.vtt | 3.4 KB | ||
| 12. Exercise 2 Presentation.mp4 | 8.2 MB | ||
| 12. Exercise 2 Presentation.vtt | 1.2 KB | ||
| 12. Exercise 2 Solution.mp4 | 13.5 MB | ||
| 12. Exercise 2 Solution.vtt | 3.6 KB | ||
| 12. Gradient Descent code along.mp4 | 13.2 MB | ||
| 12. Gradient Descent code along.vtt | 2.9 KB | ||
| 13. Convolutional Layers code along.mp4 | 14.4 MB | ||
| 13. Convolutional Layers code along.vtt | 5.1 KB | ||
| 13. EWMA.mp4 | 7.4 MB | ||
| 13. EWMA.vtt | 4.4 KB | ||
| 13. Embeddings code along.mp4 | 5.7 MB | ||
| 13. Embeddings code along.vtt | 2.2 KB | ||
| 13. Exercise 2 Solution.html | 0 B | ||
| 13. Exercise 2 Solution.mp4 | 25.2 MB | ||
| 13. Exercise 2 Solution.vtt | 7 KB | ||
| 13. Exercise 3 Presentation.mp4 | 1.7 MB | ||
| 13. Exercise 3 Presentation.vtt | 921.6 B | ||
| 13. Overfitting.mp4 | 9.4 MB | ||
| 13. Overfitting.vtt | 5.3 KB | ||
| 14. Cross Validation.mp4 | 12.4 MB | ||
| 14. Cross Validation.vtt | 6.6 KB | ||
| 14. Exercise 3 Presentation.mp4 | 2.8 MB | ||
| 14. Exercise 3 Presentation.vtt | 1.4 KB | ||
| 14. Exercise 3 Solution.mp4 | 7.2 MB | ||
| 14. Exercise 3 Solution.vtt | 1.6 KB | ||
| 14. Movies Reviews Sentiment Analysis code along.mp4 | 26.7 MB | ||
| 14. Movies Reviews Sentiment Analysis code along.vtt | 9.2 KB | ||
| 14. Optimizers.mp4 | 9.2 MB | ||
| 14. Optimizers.vtt | 4.7 KB | ||
| 14. Pooling Layers.mp4 | 3.1 MB | ||
| 14. Pooling Layers.vtt | 1.3 KB | ||
| 15. Cross Validation code along.mp4 | 9.7 MB | ||
| 15. Cross Validation code along.vtt | 3.9 KB | ||
| 15. Exercise 1 Presentation.mp4 | 7.6 MB | ||
| 15. Exercise 1 Presentation.vtt | 1 KB | ||
| 15. Exercise 3 Solution.mp4 | 20.6 MB | ||
| 15. Exercise 3 Solution.vtt | 3 KB | ||
| 15. Exercise 4 Presentation.mp4 | 1.5 MB | ||
| 15. Exercise 4 Presentation.vtt | 819.2 B | ||
| 15. Optimizers code along.mp4 | 10.7 MB | ||
| 15. Optimizers code along.vtt | 3.6 KB | ||
| 15. Pooling Layers code along.mp4 | 5.3 MB | ||
| 15. Pooling Layers code along.vtt | 1.8 KB | ||
| 16. Confusion matrix.mp4 | 11.3 MB | ||
| 16. Confusion matrix.vtt | 6.1 KB | ||
| 16. Convolutional Neural Networks.mp4 | 4.5 MB | ||
| 16. Convolutional Neural Networks.vtt | 1.9 KB | ||
| 16. Exercise 1 Solution.html | 0 B | ||
| 16. Exercise 4 Presentation.mp4 | 1.9 MB | ||
| 16. Exercise 4 Presentation.vtt | 1.1 KB | ||
| 16. Exercise 4 Solution.mp4 | 4.2 MB | ||
| 16. Exercise 4 Solution.vtt | 1.3 KB | ||
| 16. Initialization code along.mp4 | 13.4 MB | ||
| 16. Initialization code along.vtt | 4 KB | ||
| 17. Confusion Matrix code along.mp4 | 8.7 MB | ||
| 17. Confusion Matrix code along.vtt | 3.3 KB | ||
| 17. Convolutional Neural Networks code along.mp4 | 14 MB | ||
| 17. Convolutional Neural Networks code along.vtt | 5.2 KB | ||
| 17. Exercise 2 Presentation.mp4 | 5.5 MB | ||
| 17. Exercise 2 Presentation.vtt | 1 KB | ||
| 17. Exercise 4 Solution.mp4 | 13.6 MB | ||
| 17. Exercise 4 Solution.vtt | 5.2 KB | ||
| 17. Exercise 5 Presentation.mp4 | 2.1 MB | ||
| 17. Exercise 5 Presentation.vtt | 1.2 KB | ||
| 17. Inner Layers Visualization code along.mp4 | 32.3 MB | ||
| 17. Inner Layers Visualization code along.vtt | 6.8 KB | ||
| 18. Exercise 1 Presentation.mp4 | 3.5 MB | ||
| 18. Exercise 1 Presentation.vtt | 1.3 KB | ||
| 18. Exercise 2 Solution.html | 0 B | ||
| 18. Exercise 5 Solution.mp4 | 7.8 MB | ||
| 18. Exercise 5 Solution.vtt | 1.3 KB | ||
| 18. Feature Preprocessing code along.mp4 | 16 MB | ||
| 18. Feature Preprocessing code along.vtt | 5 KB | ||
| 18. Weights in CNNs.mp4 | 5.2 MB | ||
| 18. Weights in CNNs.vtt | 2.6 KB | ||
| 19. Beyond Images.mp4 | 5.3 MB | ||
| 19. Beyond Images.vtt | 2.4 KB | ||
| 19. Exercise 1 Presentation.mp4 | 6.4 MB | ||
| 19. Exercise 1 Presentation.vtt | 2.7 KB | ||
| 19. Exercise 1 Solution.mp4 | 17.8 MB | ||
| 19. Exercise 1 Solution.vtt | 4.8 KB | ||
| 19. Exercise 3 Presentation.mp4 | 23.9 MB | ||
| 19. Exercise 3 Presentation.vtt | 2.3 KB | ||
| 2. Deep Learning successes.mp4 | 10.2 MB | ||
| 2. Deep Learning successes.vtt | 4.6 KB | ||
| 2. Derivatives and Gradient.mp4 | 10.5 MB | ||
| 2. Derivatives and Gradient.vtt | 5.1 KB | ||
| 2. Features from Pixels.mp4 | 8 MB | ||
| 2. Features from Pixels.vtt | 3.3 KB | ||
| 2. Floyd GPU notebook setup.html | 1.9 KB | ||
| 2. Introduction.mp4 | 33.9 MB | ||
| 2. Introduction.vtt | 1.9 KB | ||
| 2. Learning curves.mp4 | 5.5 MB | ||
| 2. Learning curves.vtt | 3.2 KB | ||
| 2. Machine Learning Problems.mp4 | 9.3 MB | ||
| 2. Machine Learning Problems.vtt | 3.4 KB | ||
| 2. Tabular data.mp4 | 11.7 MB | ||
| 2. Tabular data.vtt | 6.3 KB | ||
| 2. Time Series.mp4 | 10.4 MB | ||
| 2. Time Series.vtt | 5.5 KB | ||
| 20. Exercise 1 Presentation.mp4 | 17.3 MB | ||
| 20. Exercise 1 Presentation.vtt | 1.8 KB | ||
| 20. Exercise 1 solution.mp4 | 37.3 MB | ||
| 20. Exercise 1 solution.vtt | 11.5 KB | ||
| 20. Exercise 2 Presentation.mp4 | 2.4 MB | ||
| 20. Exercise 2 Presentation.vtt | 1.1 KB | ||
| 21. Exercise 1 Solution.mp4 | 12.9 MB | ||
| 21. Exercise 1 Solution.vtt | 4 KB | ||
| 21. Exercise 2 Presentation.mp4 | 7.4 MB | ||
| 21. Exercise 2 Presentation.vtt | 2.8 KB | ||
| 21. Exercise 2 Solution.mp4 | 11 MB | ||
| 21. Exercise 2 Solution.vtt | 3.4 KB | ||
| 22. Exercise 2 Presentation.mp4 | 23.7 MB | ||
| 22. Exercise 2 Presentation.vtt | 2.8 KB | ||
| 22. Exercise 2 solution.mp4 | 43.2 MB | ||
| 22. Exercise 2 solution.vtt | 11.3 KB | ||
| 22. Exercise 3 Presentation.mp4 | 3 MB | ||
| 22. Exercise 3 Presentation.vtt | 1.6 KB | ||
| 23. Exercise 2 Solution.mp4 | 10.7 MB | ||
| 23. Exercise 2 Solution.vtt | 3.4 KB | ||
| 23. Exercise 3 Solution.mp4 | 12.6 MB | ||
| 23. Exercise 3 Solution.vtt | 4.1 KB | ||
| 24. Exercise 4 Presentation.mp4 | 3.7 MB | ||
| 24. Exercise 4 Presentation.vtt | 1.7 KB | ||
| 25. Exercise 4 Solution.mp4 | 11.2 MB | ||
| 25. Exercise 4 Solution.vtt | 3.3 KB | ||
| 26. Tensorboard.mp4 | 8.3 MB | ||
| 26. Tensorboard.vtt | 3.1 KB | ||
| 3. Backpropagation intuition.mp4 | 7.2 MB | ||
| 3. Backpropagation intuition.vtt | 3.9 KB | ||
| 3. Data exploration with Pandas code along.mp4 | 30.9 MB | ||
| 3. Data exploration with Pandas code along.vtt | 10 KB | ||
| 3. Learning curves code along.mp4 | 18.9 MB | ||
| 3. Learning curves code along.vtt | 5.8 KB | ||
| 3. MNIST Classification.mp4 | 3.9 MB | ||
| 3. MNIST Classification.vtt | 1.3 KB | ||
| 3. Neural Networks.mp4 | 9.9 MB | ||
| 3. Neural Networks.vtt | 4.9 KB | ||
| 3. Real world applications of deep learning.mp4 | 23.6 MB | ||
| 3. Real world applications of deep learning.vtt | 9.6 KB | ||
| 3. Sequence problems.mp4 | 8.8 MB | ||
| 3. Sequence problems.vtt | 4.8 KB | ||
| 3. Supervised Learning.mp4 | 10.4 MB | ||
| 3. Supervised Learning.vtt | 4.9 KB | ||
| 4. Batch Normalization.mp4 | 3.8 MB | ||
| 4. Batch Normalization.vtt | 3.8 MB | ||
| 4. Chain Rule.mp4 | 12.5 MB | ||
| 4. Chain Rule.vtt | 3.8 KB | ||
| 4. Deeper Networks.mp4 | 8.5 MB | ||
| 4. Deeper Networks.vtt | 3.5 KB | ||
| 4. Download and install Anaconda.mp4 | 25.6 MB | ||
| 4. Download and install Anaconda.vtt | 2.6 KB | ||
| 4. Linear Regression.mp4 | 9.8 MB | ||
| 4. Linear Regression.vtt | 4.6 KB | ||
| 4. MNIST Classification code along.mp4 | 19.6 MB | ||
| 4. MNIST Classification code along.vtt | 5.3 KB | ||
| 4. Vanilla RNN.mp4 | 5.6 MB | ||
| 4. Vanilla RNN.vtt | 2.7 KB | ||
| 4. Visual data Exploration.mp4 | 9.1 MB | ||
| 4. Visual data Exploration.vtt | 5.1 KB | ||
| 5. Batch Normalization code along.mp4 | 15 MB | ||
| 5. Batch Normalization code along.vtt | 5.2 KB | ||
| 5. Beyond Pixels.mp4 | 7.3 MB | ||
| 5. Beyond Pixels.vtt | 3.5 KB | ||
| 5. Cost Function.mp4 | 6 MB | ||
| 5. Cost Function.vtt | 3.2 KB | ||
| 5. Derivative Calculation.mp4 | 7.2 MB | ||
| 5. Derivative Calculation.vtt | 3.6 KB | ||
| 5. Installation Video Guide.mp4 | 61.1 MB | ||
| 5. Installation Video Guide.vtt | 5.9 KB | ||
| 5. LSTM and GRU.mp4 | 11.5 MB | ||
| 5. LSTM and GRU.vtt | 6.2 KB | ||
| 5. Neural Networks code along.mp4 | 21.1 MB | ||
| 5. Neural Networks code along.vtt | 6.2 KB | ||
| 5. Plotting with Matplotlib.mp4 | 32.8 MB | ||
| 5. Plotting with Matplotlib.vtt | 102.4 B | ||
| 5.1 Link to Github notebooks.html | 102.4 B | ||
| 5.2 Link to Tensorflow install docs.html | 102.4 B | ||
| 6. Cost Function code along.mp4 | 17.9 MB | ||
| 6. Cost Function code along.vtt | 5.9 KB | ||
| 6. Dropout.mp4 | 6 MB | ||
| 6. Dropout.vtt | 2.7 KB | ||
| 6. Fully Connected Backpropagation.mp4 | 12.5 MB | ||
| 6. Fully Connected Backpropagation.vtt | 3.6 KB | ||
| 6. Images as Tensors.mp4 | 10.4 MB | ||
| 6. Images as Tensors.vtt | 5.1 KB | ||
| 6. Multiple Outputs.mp4 | 10.3 MB | ||
| 6. Multiple Outputs.vtt | 6.5 MB | ||
| 6. Obtain the code for the course.html | 1 KB | ||
| 6. Time Series Forecasting code along.mp4 | 16.1 MB | ||
| 6. Time Series Forecasting code along.vtt | 6.2 KB | ||
| 6. Unstructured Data.mp4 | 11.3 MB | ||
| 6. Unstructured Data.vtt | 5.2 KB | ||
| 7. Course Folder Walkthrough.mp4 | 19.2 MB | ||
| 7. Course Folder Walkthrough.vtt | 19.2 MB | ||
| 7. Dropout and Regularization code along.mp4 | 6.3 MB | ||
| 7. Dropout and Regularization code along.vtt | 2.1 KB | ||
| 7. Finding the best model.mp4 | 5.1 MB | ||
| 7. Finding the best model.vtt | 2.7 KB | ||
| 7. Images and Sound in Jupyter.mp4 | 14 MB | ||
| 7. Images and Sound in Jupyter.vtt | 4.2 KB | ||
| 7. Matrix Notation.mp4 | 8.6 MB | ||
| 7. Matrix Notation.vtt | 3.9 KB | ||
| 7. Multiclass classification code along.mp4 | 33.9 MB | ||
| 7. Multiclass classification code along.vtt | 8.4 KB | ||
| 7. Tensor Math code along.mp4 | 17.2 MB | ||
| 7. Tensor Math code along.vtt | 0 B | ||
| 7. Time Series Forecasting with LSTM code along.mp4 | 9.4 MB | ||
| 7. Time Series Forecasting with LSTM code along.vtt | 3 KB | ||
| 8. Activation Functions.mp4 | 8.5 MB | ||
| 8. Activation Functions.vtt | 4.3 KB | ||
| 8. Convolution in 1 D.mp4 | 6.6 MB | ||
| 8. Convolution in 1 D.vtt | 2.8 KB | ||
| 8. Data Augmentation.mp4 | 6.1 MB | ||
| 8. Data Augmentation.vtt | 2.7 KB | ||
| 8. Feature Engineering.mp4 | 5.8 MB | ||
| 8. Feature Engineering.vtt | 2.6 KB | ||
| 8. Linear Regression code along.mp4 | 39.9 MB | ||
| 8. Linear Regression code along.vtt | 10.1 KB | ||
| 8. Numpy Arrays code along.mp4 | 19.4 MB | ||
| 8. Numpy Arrays code along.vtt | 6.7 KB | ||
| 8. Rolling Windows.mp4 | 5.1 MB | ||
| 8. Rolling Windows.vtt | 2.7 KB | ||
| 8. Your first deep learning model.mp4 | 32.9 MB | ||
| 8. Your first deep learning model.vtt | 9.1 KB | ||
| 9. Continuous Learning.mp4 | 4.8 MB | ||
| 9. Continuous Learning.vtt | 2.6 KB | ||
| 9. Convolution in 1 D code along.mp4 | 5.1 MB | ||
| 9. Convolution in 1 D code along.vtt | 1.2 KB | ||
| 9. Evaluating Performance.mp4 | 9 MB | ||
| 9. Evaluating Performance.vtt | 5.3 KB | ||
| 9. Exercise 1 Presentation.mp4 | 3.2 MB | ||
| 9. Exercise 1 Presentation.vtt | 1.8 KB | ||
| 9. Feed forward.mp4 | 10 MB | ||
| 9. Feed forward.vtt | 4.8 KB | ||
| 9. Learning Rate.mp4 | 3.7 MB | ||
| 9. Learning Rate.vtt | 1.9 KB | ||
| 9. Rolling Windows code along.mp4 | 21.1 MB | ||
| 9. Rolling Windows code along.vtt | 5.6 KB | ||
| [FreeCourseLab.com].url | 102.4 B | ||
| ▲ 293 total files | |||
Udemy - Zero to Deep Learning™ with Python and Keras
This course is designed to provide a complete introduction to Deep Learning.
Created by Data Weekends, Jose Portilla, Francesco Mosconi
Last updated 12/2018
For more Udemy Courses: https://freecourselab.com
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