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Download [UdemyCourseDownloader] Zero to Deep Learning™ with Python and Keras

UdemyCourseDownloader Zero to Deep Learning with Python and Keras

Name

[UdemyCourseDownloader] Zero to Deep Learning™ with Python and Keras

 DOWNLOAD Copy Link

Total Size

2.0 GB

Total Files

294

Hash

2E9C70AB3B69012FBDCD3F3EB5992154AE6C3573

/1. Welcome to the course!/

5. Installation Video Guide.mp4

47.4 MB

1. Welcome to the course!.mp4

28.7 MB

1. Welcome to the course!.vtt

1.7 KB

2. Introduction.mp4

35.5 MB

2. Introduction.vtt

1.9 KB

3. Real world applications of deep learning.mp4

24.7 MB

3. Real world applications of deep learning.vtt

9.8 KB

4. Download and install Anaconda.mp4

26.8 MB

4. Download and install Anaconda.vtt

2.7 KB

5. Installation Video Guide.vtt

15.7 KB

5.1 Link to Tensorflow install docs.html

0.1 KB

5.2 Link to Github notebooks.html

0.1 KB

6. Obtain the code for the course.html

1.1 KB

7. Course Folder Walkthrough.mp4

20.2 MB

7. Course Folder Walkthrough.vtt

5.2 KB

8. Your first deep learning model.mp4

34.5 MB

8. Your first deep learning model.vtt

9.4 KB

/

udemycoursedownloader.com.url

0.1 KB

Udemy Course downloader.txt

0.1 KB

/2. Data/

1. Section 2 Intro.mp4

23.3 MB

1. Section 2 Intro.vtt

1.0 KB

2. Tabular data.mp4

12.3 MB

2. Tabular data.vtt

6.4 KB

3. Data exploration with Pandas code along.mp4

32.4 MB

3. Data exploration with Pandas code along.vtt

10.2 KB

4. Visual data Exploration.mp4

9.6 MB

4. Visual data Exploration.vtt

5.2 KB

5. Plotting with Matplotlib.mp4

34.4 MB

5. Plotting with Matplotlib.vtt

0.1 KB

6. Unstructured Data.mp4

11.9 MB

6. Unstructured Data.vtt

5.3 KB

7. Images and Sound in Jupyter.mp4

14.7 MB

7. Images and Sound in Jupyter.vtt

4.3 KB

8. Feature Engineering.mp4

6.1 MB

8. Feature Engineering.vtt

2.7 KB

9. Exercise 1 Presentation.mp4

3.4 MB

9. Exercise 1 Presentation.vtt

1.8 KB

10. Exercise 1 Solution.mp4

9.9 MB

10. Exercise 1 Solution.vtt

3.2 KB

11. Exercise 2 Presentation.mp4

2.0 MB

11. Exercise 2 Presentation.vtt

1.1 KB

12. Exercise 2 Solution.mp4

14.2 MB

12. Exercise 2 Solution.vtt

3.7 KB

13. Exercise 3 Presentation.mp4

1.8 MB

13. Exercise 3 Presentation.vtt

0.9 KB

14. Exercise 3 Solution.mp4

7.5 MB

14. Exercise 3 Solution.vtt

1.7 KB

15. Exercise 4 Presentation.mp4

1.6 MB

15. Exercise 4 Presentation.vtt

0.8 KB

16. Exercise 4 Solution.mp4

4.4 MB

16. Exercise 4 Solution.vtt

1.3 KB

17. Exercise 5 Presentation.mp4

2.2 MB

17. Exercise 5 Presentation.vtt

1.2 KB

18. Exercise 5 Solution.mp4

8.2 MB

18. Exercise 5 Solution.vtt

1.3 KB

/3. Machine Learning/

1. Section 3 Intro.mp4

40.8 MB

1. Section 3 Intro.vtt

2.0 KB

2. Machine Learning Problems.mp4

9.7 MB

2. Machine Learning Problems.vtt

3.5 KB

3. Supervised Learning.mp4

10.9 MB

3. Supervised Learning.vtt

5.0 KB

4. Linear Regression.mp4

10.2 MB

4. Linear Regression.vtt

4.7 KB

5. Cost Function.mp4

6.3 MB

5. Cost Function.vtt

3.3 KB

6. Cost Function code along.mp4

18.8 MB

6. Cost Function code along.vtt

6.1 KB

7. Finding the best model.mp4

5.3 MB

7. Finding the best model.vtt

2.7 KB

8. Linear Regression code along.mp4

41.8 MB

8. Linear Regression code along.vtt

10.3 KB

9. Evaluating Performance.mp4

9.5 MB

9. Evaluating Performance.vtt

5.4 KB

10. Evaluating Performance code along.mp4

10.9 MB

10. Evaluating Performance code along.vtt

4.4 KB

11. Classification.mp4

14.9 MB

11. Classification.vtt

7.7 KB

12. Classification code along.mp4

24.0 MB

12. Classification code along.vtt

7.5 KB

13. Overfitting.mp4

9.8 MB

13. Overfitting.vtt

5.4 KB

14. Cross Validation.mp4

13.0 MB

14. Cross Validation.vtt

6.8 KB

15. Cross Validation code along.mp4

10.2 MB

15. Cross Validation code along.vtt

4.0 KB

16. Confusion matrix.mp4

11.8 MB

16. Confusion matrix.vtt

6.2 KB

17. Confusion Matrix code along.mp4

9.1 MB

17. Confusion Matrix code along.vtt

3.4 KB

18. Feature Preprocessing code along.mp4

16.8 MB

18. Feature Preprocessing code along.vtt

5.1 KB

19. Exercise 1 Presentation.mp4

6.8 MB

19. Exercise 1 Presentation.vtt

2.8 KB

20. Exercise 1 solution.mp4

39.1 MB

20. Exercise 1 solution.vtt

11.7 KB

21. Exercise 2 Presentation.mp4

7.8 MB

21. Exercise 2 Presentation.vtt

2.8 KB

22. Exercise 2 solution.mp4

45.3 MB

22. Exercise 2 solution.vtt

11.6 KB

/4. Deep Learning Intro/

1. Section 4 Intro.mp4

32.4 MB

1. Section 4 Intro.vtt

1.6 KB

2. Deep Learning successes.mp4

10.6 MB

2. Deep Learning successes.vtt

4.7 KB

3. Neural Networks.mp4

10.4 MB

3. Neural Networks.vtt

5.0 KB

4. Deeper Networks.mp4

8.9 MB

4. Deeper Networks.vtt

3.6 KB

5. Neural Networks code along.mp4

22.1 MB

5. Neural Networks code along.vtt

6.3 KB

6. Multiple Outputs.mp4

10.8 MB

6. Multiple Outputs.vtt

5.3 KB

7. Multiclass classification code along.mp4

35.6 MB

7. Multiclass classification code along.vtt

8.6 KB

8. Activation Functions.mp4

8.9 MB

8. Activation Functions.vtt

4.4 KB

9. Feed forward.mp4

10.5 MB

9. Feed forward.vtt

4.9 KB

10. Exercise 1 Presentation.mp4

5.0 MB

10. Exercise 1 Presentation.vtt

1.6 KB

11. Exercise 1 Solution.mp4

26.0 MB

11. Exercise 1 Solution.vtt

6.8 KB

12. Exercise 2 Presentation.mp4

3.2 MB

12. Exercise 2 Presentation.vtt

1.4 KB

13. Exercise 2 Solution.mp4

26.4 MB

13. Exercise 2 Solution.vtt

7.1 KB

14. Exercise 3 Presentation.mp4

3.0 MB

14. Exercise 3 Presentation.vtt

1.5 KB

15. Exercise 3 Solution.mp4

21.6 MB

15. Exercise 3 Solution.vtt

3.0 KB

16. Exercise 4 Presentation.mp4

2.0 MB

16. Exercise 4 Presentation.vtt

1.1 KB

17. Exercise 4 Solution.mp4

14.2 MB

17. Exercise 4 Solution.vtt

5.4 KB

/5. Gradient Descent/

1. Section 5 Intro.mp4

32.2 MB

1. Section 5 Intro.vtt

1.6 KB

2. Derivatives and Gradient.mp4

11.0 MB

2. Derivatives and Gradient.vtt

5.2 KB

3. Backpropagation intuition.mp4

7.6 MB

3. Backpropagation intuition.vtt

4.0 KB

4. Chain Rule.mp4

13.1 MB

4. Chain Rule.vtt

3.9 KB

5. Derivative Calculation.mp4

7.5 MB

5. Derivative Calculation.vtt

3.7 KB

6. Fully Connected Backpropagation.mp4

13.1 MB

6. Fully Connected Backpropagation.vtt

3.7 KB

7. Matrix Notation.mp4

9.0 MB

7. Matrix Notation.vtt

4.0 KB

8. Numpy Arrays code along.mp4

20.4 MB

8. Numpy Arrays code along.vtt

6.9 KB

9. Learning Rate.mp4

3.8 MB

9. Learning Rate.vtt

2.0 KB

10. Learning Rate code along.mp4

34.8 MB

10. Learning Rate code along.vtt

8.0 KB

11. Gradient Descent.mp4

6.7 MB

11. Gradient Descent.vtt

3.3 KB

12. Gradient Descent code along.mp4

13.8 MB

12. Gradient Descent code along.vtt

3.0 KB

13. EWMA.mp4

7.7 MB

13. EWMA.vtt

4.5 KB

14. Optimizers.mp4

9.6 MB

14. Optimizers.vtt

4.8 KB

15. Optimizers code along.mp4

11.2 MB

15. Optimizers code along.vtt

3.7 KB

16. Initialization code along.mp4

14.0 MB

16. Initialization code along.vtt

4.1 KB

17. Inner Layers Visualization code along.mp4

33.8 MB

17. Inner Layers Visualization code along.vtt

7.0 KB

18. Exercise 1 Presentation.mp4

3.7 MB

18. Exercise 1 Presentation.vtt

1.3 KB

19. Exercise 1 Solution.mp4

18.7 MB

19. Exercise 1 Solution.vtt

5.0 KB

20. Exercise 2 Presentation.mp4

2.5 MB

20. Exercise 2 Presentation.vtt

1.1 KB

21. Exercise 2 Solution.mp4

11.5 MB

21. Exercise 2 Solution.vtt

3.5 KB

22. Exercise 3 Presentation.mp4

3.1 MB

22. Exercise 3 Presentation.vtt

1.6 KB

23. Exercise 3 Solution.mp4

13.2 MB

23. Exercise 3 Solution.vtt

4.2 KB

24. Exercise 4 Presentation.mp4

3.9 MB

24. Exercise 4 Presentation.vtt

1.7 KB

25. Exercise 4 Solution.mp4

11.7 MB

25. Exercise 4 Solution.vtt

3.4 KB

26. Tensorboard.mp4

8.7 MB

26. Tensorboard.vtt

3.1 KB

/6. Convolutional Neural Networks/

1. Section 6 Intro.mp4

37.2 MB

1. Section 6 Intro.vtt

1.7 KB

2. Features from Pixels.mp4

8.3 MB

2. Features from Pixels.vtt

3.4 KB

3. MNIST Classification.mp4

4.1 MB

3. MNIST Classification.vtt

1.4 KB

4. MNIST Classification code along.mp4

20.6 MB

4. MNIST Classification code along.vtt

5.4 KB

5. Beyond Pixels.mp4

7.7 MB

5. Beyond Pixels.vtt

3.6 KB

6. Images as Tensors.mp4

10.9 MB

6. Images as Tensors.vtt

5.2 KB

7. Tensor Math code along.mp4

18.0 MB

7. Tensor Math code along.vtt

0.0 KB

8. Convolution in 1 D.mp4

6.9 MB

8. Convolution in 1 D.vtt

2.9 KB

9. Convolution in 1 D code along.mp4

5.4 MB

9. Convolution in 1 D code along.vtt

1.2 KB

10. Convolution in 2 D.mp4

7.0 MB

10. Convolution in 2 D.vtt

3.3 KB

11. Image Filters code along.mp4

6.7 MB

11. Image Filters code along.vtt

2.1 KB

12. Convolutional Layers.mp4

12.9 MB

12. Convolutional Layers.vtt

6.0 KB

13. Convolutional Layers code along.mp4

15.1 MB

13. Convolutional Layers code along.vtt

5.2 KB

14. Pooling Layers.mp4

3.2 MB

14. Pooling Layers.vtt

1.3 KB

15. Pooling Layers code along.mp4

5.5 MB

15. Pooling Layers code along.vtt

1.8 KB

16. Convolutional Neural Networks.mp4

4.7 MB

16. Convolutional Neural Networks.vtt

2.0 KB

17. Convolutional Neural Networks code along.mp4

14.6 MB

17. Convolutional Neural Networks code along.vtt

5.3 KB

18. Weights in CNNs.mp4

5.5 MB

18. Weights in CNNs.vtt

2.6 KB

19. Beyond Images.mp4

5.5 MB

19. Beyond Images.vtt

2.5 KB

20. Exercise 1 Presentation.mp4

18.1 MB

20. Exercise 1 Presentation.vtt

1.8 KB

21. Exercise 1 Solution.mp4

13.5 MB

21. Exercise 1 Solution.vtt

4.1 KB

22. Exercise 2 Presentation.mp4

24.8 MB

22. Exercise 2 Presentation.vtt

2.9 KB

23. Exercise 2 Solution.mp4

11.2 MB

23. Exercise 2 Solution.vtt

3.5 KB

/7. Cloud GPUs/

1. Google Colaboratory GPU notebook setup.html

1.9 KB

2. Floyd GPU notebook setup.html

2.0 KB

/8. Recurrent Neural Networks/

1. Section 8 Intro.mp4

25.7 MB

1. Section 8 Intro.vtt

1.1 KB

2. Time Series.mp4

10.9 MB

2. Time Series.vtt

5.6 KB

3. Sequence problems.mp4

9.2 MB

3. Sequence problems.vtt

5.0 KB

4. Vanilla RNN.mp4

5.9 MB

4. Vanilla RNN.vtt

2.8 KB

5. LSTM and GRU.mp4

12.0 MB

5. LSTM and GRU.vtt

6.4 KB

6. Time Series Forecasting code along.mp4

16.9 MB

6. Time Series Forecasting code along.vtt

6.3 KB

7. Time Series Forecasting with LSTM code along.mp4

9.9 MB

7. Time Series Forecasting with LSTM code along.vtt

3.1 KB

8. Rolling Windows.mp4

5.3 MB

8. Rolling Windows.vtt

2.8 KB

9. Rolling Windows code along.mp4

22.1 MB

9. Rolling Windows code along.vtt

5.8 KB

10. Exercise 1 Presentation.mp4

11.2 MB

10. Exercise 1 Presentation.vtt

1.2 KB

11. Exercise 1 Solution.mp4

8.3 MB

11. Exercise 1 Solution.vtt

1.9 KB

12. Exercise 2 Presentation.mp4

8.6 MB

12. Exercise 2 Presentation.vtt

1.2 KB

13. Exercise 2 Solution.html

0.0 KB

/9. Improving performance/

1. Section 9 Intro.mp4

20.1 MB

1. Section 9 Intro.vtt

1.0 KB

2. Learning curves.mp4

5.7 MB

2. Learning curves.vtt

3.2 KB

3. Learning curves code along.mp4

19.8 MB

3. Learning curves code along.vtt

5.9 KB

4. Batch Normalization.mp4

4.0 MB

4. Batch Normalization.vtt

1.9 KB

5. Batch Normalization code along.mp4

15.7 MB

5. Batch Normalization code along.vtt

5.3 KB

6. Dropout.mp4

6.2 MB

6. Dropout.vtt

2.8 KB

7. Dropout and Regularization code along.mp4

6.6 MB

7. Dropout and Regularization code along.vtt

2.1 KB

8. Data Augmentation.mp4

6.4 MB

8. Data Augmentation.vtt

2.8 KB

9. Continuous Learning.mp4

5.1 MB

9. Continuous Learning.vtt

2.7 KB

10. Image Generator code along.mp4

16.1 MB

10. Image Generator code along.vtt

5.5 KB

11. Hyperparameter search.mp4

7.5 MB

11. Hyperparameter search.vtt

4.0 KB

12. Embeddings.mp4

6.9 MB

12. Embeddings.vtt

3.5 KB

13. Embeddings code along.mp4

6.0 MB

13. Embeddings code along.vtt

2.2 KB

14. Movies Reviews Sentiment Analysis code along.mp4

28.0 MB

14. Movies Reviews Sentiment Analysis code along.vtt

9.4 KB

15. Exercise 1 Presentation.mp4

8.0 MB

15. Exercise 1 Presentation.vtt

1.1 KB

16. Exercise 1 Solution.html

0.0 KB

17. Exercise 2 Presentation.mp4

5.8 MB

17. Exercise 2 Presentation.vtt

1.0 KB

18. Exercise 2 Solution.html

0.0 KB

19. Exercise 3 Presentation.mp4

25.0 MB

19. Exercise 3 Presentation.vtt

2.4 KB

 

Total files 294


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