FreeCourseLab com Udemy Zero to Deep Learning with Python and Keras

FreeCourseLab com Udemy Zero to Deep Learning with Python and Keras

Name	[FreeCourseLab.com] Udemy - Zero to Deep Learning™ with Python and Keras	DOWNLOAD Copy Link
Total Size	2.0 GB
Total Files	293
Hash	5737267F67F7A4F8D1FEF878D051F8FA9DB957B2

/1. Welcome to the course!/
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	24.8 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.mp4	64.1 MB
5. Installation Video Guide.vtt	6.1 KB
5.1 Link to Github notebooks.html	0.1 KB
5.2 Link to Tensorflow install docs.html	0.1 KB
6. Obtain the code for the course.html	1.0 KB
7. Course Folder Walkthrough.mp4	20.2 MB
7. Course Folder Walkthrough.vtt	20.2 MB
8. Your first deep learning model.mp4	34.5 MB
8. Your first deep learning model.vtt	9.4 KB
/2. Data/
1. Section 2 Intro.mp4	23.3 MB
1. Section 2 Intro.vtt	1.0 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
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
/3. Machine Learning/
1. Section 3 Intro.mp4	40.9 MB
1. Section 3 Intro.vtt	2.0 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
2. Machine Learning Problems.mp4	9.8 MB
2. Machine Learning Problems.vtt	3.5 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
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
/4. Deep Learning Intro/
1. Section 4 Intro.mp4	32.4 MB
1. Section 4 Intro.vtt	1.6 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	14.3 MB
17. Exercise 4 Solution.vtt	5.4 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	6.8 MB
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
/5. Gradient Descent/
1. Section 5 Intro.mp4	32.3 MB
1. Section 5 Intro.vtt	1.6 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	6.7 MB
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
2. Derivatives and Gradient.mp4	11.0 MB
2. Derivatives and Gradient.vtt	5.2 KB
20. Exercise 2 Presentation.mp4	2.6 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
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	3.9 MB
9. Learning Rate.vtt	2.0 KB
/6. Convolutional Neural Networks/
1. Section 6 Intro.mp4	37.2 MB
1. Section 6 Intro.vtt	1.7 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	14.7 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
2. Features from Pixels.mp4	8.3 MB
2. Features from Pixels.vtt	3.4 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	24.9 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
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	7.0 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
/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
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
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	22.2 MB
9. Rolling Windows code along.vtt	5.8 KB
/9. Improving performance/
1. Section 9 Intro.mp4	20.1 MB
1. Section 9 Intro.vtt	1.0 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
2. Learning curves.mp4	5.7 MB
2. Learning curves.vtt	3.2 KB
3. Learning curves code along.mp4	19.9 MB
3. Learning curves code along.vtt	5.9 KB
4. Batch Normalization.mp4	4.0 MB
4. Batch Normalization.vtt	4.0 MB
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
/
[FreeCourseLab.com].url	0.1 KB
Total files 293