Udemy - Unsupervised Deep Learning In Python

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Udemy - Unsupervised Deep Learning In Python

Torrent Contents Size: 2.9 GB

Udemy - Unsupervised Deep Learning In Python
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1. (Legacy) Restricted Boltzmann Machine Theory.mp4
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14.4 MB
1. (Legacy) Restricted Boltzmann Machine Theory.vtt
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10.4 KB
1. (Review) Theano Basics.mp4
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93.4 MB
1. (Review) Theano Basics.vtt
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6.3 KB
1. Application of PCA and SVD to NLP (Natural Language Processing).mp4
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3.9 MB
1. Application of PCA and SVD to NLP (Natural Language Processing).vtt
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307.2 B
1. Autoencoders.mp4
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5.8 MB
1. Autoencoders.vtt
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3.9 KB
1. Basic Outline for RBMs.mp4
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33 MB
1. Basic Outline for RBMs.vtt
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5.6 KB
1. Exercises on feature visualization and interpretation.mp4
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3.8 MB
1. Exercises on feature visualization and interpretation.vtt
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307.2 B
1. Introduction and Outline.mp4
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3.3 MB
1. Introduction and Outline.vtt
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307.2 B
1. Recommender Systems Section Introduction.mp4
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68.2 MB
1. Recommender Systems Section Introduction.vtt
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307.2 B
1. The Vanishing Gradient Problem Description.mp4
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5.2 MB
1. The Vanishing Gradient Problem Description.vtt
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307.2 B
1. What does PCA do.mp4
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27.8 MB
1. What does PCA do.vtt
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5 KB
1. What is the Appendix.mp4
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5.5 MB
1. What is the Appendix.vtt
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3.3 KB
1. t-SNE Theory.mp4
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7.9 MB
1. t-SNE Theory.vtt
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4.8 KB
10. Deep Autoencoder Visualization Description.mp4
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2.5 MB
10. Deep Autoencoder Visualization Description.vtt
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2 KB
10. Python 2 vs Python 3.mp4
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7.8 MB
10. Python 2 vs Python 3.vtt
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5.4 KB
10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4
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47.8 MB
10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.vtt
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6.8 KB
10. Recommender RBM Code Speedup.mp4
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82.9 MB
10. Recommender RBM Code Speedup.vtt
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83 MB
10. SVD (Singular Value Decomposition).mp4
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42.5 MB
10. SVD (Singular Value Decomposition).vtt
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10.3 KB
11. Deep Autoencoder Visualization in Code.mp4
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27.9 MB
11. Deep Autoencoder Visualization in Code.vtt
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6.7 KB
11. Is Theano Dead.mp4
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17.8 MB
11. Is Theano Dead.vtt
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11.3 KB
11. RBM in Code (Tensorflow).mp4
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13.7 MB
11. RBM in Code (Tensorflow).vtt
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307.2 B
12. An Autoencoder in 1 Line of Code.mp4
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24.9 MB
12. An Autoencoder in 1 Line of Code.vtt
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5.1 KB
12. What order should I take your courses in (part 1).mp4
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29.3 MB
12. What order should I take your courses in (part 1).vtt
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14.1 KB
13. What order should I take your courses in (part 2).mp4
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37.6 MB
13. What order should I take your courses in (part 2).vtt
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20.2 KB
2. (Legacy) Deriving Conditional Probabilities from Joint Probability.mp4
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9.4 MB
2. (Legacy) Deriving Conditional Probabilities from Joint Probability.vtt
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5.7 KB
2. (Review) Theano Neural Network in Code.mp4
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87 MB
2. (Review) Theano Neural Network in Code.vtt
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3.3 KB
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
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4 MB
2. BONUS Where to get Udemy coupons and FREE deep learning material.vtt
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3 KB
2. Denoising Autoencoders.mp4
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3.4 MB
2. Denoising Autoencoders.vtt
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2.3 KB
2. How does PCA work.mp4
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50.9 MB
2. How does PCA work.vtt
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12.4 KB
2. Introduction to RBMs.mp4
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39.4 MB
2. Introduction to RBMs.vtt
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307.2 B
2. Latent Semantic Analysis in Code.mp4
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25.6 MB
2. Latent Semantic Analysis in Code.vtt
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307.2 B
2. The Vanishing Gradient Problem Demo in Code.mp4
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31.3 MB
2. The Vanishing Gradient Problem Demo in Code.vtt
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307.2 B
2. Where does this course fit into your deep learning studies.mp4
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5.2 MB
2. Where does this course fit into your deep learning studies.vtt
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307.2 B
2. Why Autoencoders and RBMs work.mp4
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38.2 MB
2. Why Autoencoders and RBMs work.vtt
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307.2 B
2. t-SNE Visualization.mp4
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13 MB
2. t-SNE Visualization.vtt
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4.8 KB
3. (Legacy) Contrastive Divergence for RBM Training.mp4
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4.8 MB
3. (Legacy) Contrastive Divergence for RBM Training.vtt
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3 KB
3. (Review) Tensorflow Basics.mp4
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81.5 MB
3. (Review) Tensorflow Basics.vtt
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5.1 KB
3. Application of t-SNE + K-Means Finding Clusters of Related Words.mp4
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26 MB
3. Application of t-SNE + K-Means Finding Clusters of Related Words.vtt
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307.2 B
3. Data Preparation and Logistics.mp4
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21.2 MB
3. Data Preparation and Logistics.vtt
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307.2 B
3. How to Succeed in this Course.mp4
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6.4 MB
3. How to Succeed in this Course.vtt
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307.2 B
3. Motivation Behind RBMs.mp4
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34 MB
3. Motivation Behind RBMs.vtt
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307.2 B
3. Stacked Autoencoders.mp4
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6.6 MB
3. Stacked Autoencoders.vtt
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4.2 KB
3. Why does PCA work (PCA derivation).mp4
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51.3 MB
3. Why does PCA work (PCA derivation).vtt
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307.2 B
3. Windows-Focused Environment Setup 2018.mp4
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186.4 MB
3. Windows-Focused Environment Setup 2018.vtt
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17.4 KB
3. t-SNE on the Donut.mp4
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15.1 MB
3. t-SNE on the Donut.vtt
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2.2 KB
4. (Legacy) How to derive the free energy formula.mp4
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10.9 MB
4. (Legacy) How to derive the free energy formula.vtt
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5.6 KB
4. (Review) Tensorflow Neural Network in Code.mp4
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97.4 MB
4. (Review) Tensorflow Neural Network in Code.vtt
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4.8 KB
4. AutoRec.mp4
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48.9 MB
4. AutoRec.vtt
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307.2 B
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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43.9 MB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
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12.4 KB
4. Intractability.mp4
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12.9 MB
4. Intractability.vtt
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307.2 B
4. PCA only rotates.mp4
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16.4 MB
4. PCA only rotates.vtt
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307.2 B
4. Where to get the code and data.mp4
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26.4 MB
4. Where to get the code and data.vtt
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307.2 B
4. Writing the autoencoder class in code (Theano).mp4
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38.5 MB
4. Writing the autoencoder class in code (Theano).vtt
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6.1 KB
4. t-SNE on XOR.mp4
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9.3 MB
4. t-SNE on XOR.vtt
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3.6 KB
5. (Review) Keras Basics.mp4
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27.6 MB
5. (Review) Keras Basics.vtt
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8 KB
5. AutoRec in Code.mp4
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102.3 MB
5. AutoRec in Code.vtt
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12.6 KB
5. How to Code by Yourself (part 1).mp4
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24.5 MB
5. How to Code by Yourself (part 1).vtt
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19.8 KB
5. MNIST visualization, finding the optimal number of principal components.mp4
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9.4 MB
5. MNIST visualization, finding the optimal number of principal components.vtt
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3.3 KB
5. Neural Network Equations.mp4
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31.7 MB
5. Neural Network Equations.vtt
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7.4 KB
5. Tensorflow or Theano - Your Choice!.mp4
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18.9 MB
5. Tensorflow or Theano - Your Choice!.vtt
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307.2 B
5. Testing our Autoencoder (Theano).mp4
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11.4 MB
5. Testing our Autoencoder (Theano).vtt
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2.7 KB
5. t-SNE on MNIST.mp4
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4.4 MB
5. t-SNE on MNIST.vtt
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1.6 KB
6. (Review) Keras in Code pt 1.mp4
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66.2 MB
6. (Review) Keras in Code pt 1.vtt
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6.5 KB
6. Categorical RBM for Recommender System Ratings.mp4
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47.6 MB
6. Categorical RBM for Recommender System Ratings.vtt
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12 KB
6. How to Code by Yourself (part 2).mp4
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14.8 MB
6. How to Code by Yourself (part 2).vtt
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11.6 KB
6. PCA implementation.mp4
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32.1 MB
6. PCA implementation.vtt
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307.2 B
6. Training an RBM (part 1).mp4
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49.1 MB
6. Training an RBM (part 1).vtt
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11.8 KB
6. What are the practical applications of unsupervised deep learning.mp4
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11.7 MB
6. What are the practical applications of unsupervised deep learning.vtt
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307.2 B
6. Writing the deep neural network class in code (Theano).mp4
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42 MB
6. Writing the deep neural network class in code (Theano).vtt
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6.4 KB
7. (Review) Keras in Code pt 2.mp4
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38.7 MB
7. (Review) Keras in Code pt 2.vtt
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4.7 KB
7. Autoencoder in Code (Tensorflow).mp4
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24.5 MB
7. Autoencoder in Code (Tensorflow).vtt
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8.2 KB
7. How to Succeed in this Course (Long Version).mp4
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18.3 MB
7. How to Succeed in this Course (Long Version).vtt
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12.8 KB
7. PCA for NLP.mp4
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16.6 MB
7. PCA for NLP.vtt
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3.9 KB
7. Recommender RBM Code pt 1.mp4
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70.4 MB
7. Recommender RBM Code pt 1.vtt
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8.7 KB
7. Training an RBM (part 2).mp4
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27.3 MB
7. Training an RBM (part 2).vtt
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6.4 KB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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39 MB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
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27.8 KB
8. PCA objective function.mp4
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3.7 MB
8. PCA objective function.vtt
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2.3 KB
8. Recommender RBM Code pt 2.mp4
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39.6 MB
8. Recommender RBM Code pt 2.vtt
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4.6 KB
8. Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4
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18.5 MB
8. Testing greedy layer-wise autoencoder training vs. pure backpropagation.vtt
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1.9 KB
8. Training an RBM (part 3) - Free Energy.mp4
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27.6 MB
8. Training an RBM (part 3) - Free Energy.vtt
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7 KB
9. Cross Entropy vs. KL Divergence.mp4
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7.4 MB
9. Cross Entropy vs. KL Divergence.vtt
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5.5 KB
9. PCA Application Naive Bayes.mp4
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53.6 MB
9. PCA Application Naive Bayes.vtt
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10.8 KB
9. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.3 MB
9. Proof that using Jupyter Notebook is the same as not using it.vtt
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78.3 MB
9. RBM Greedy Layer-Wise Pretraining.mp4
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23.6 MB
9. RBM Greedy Layer-Wise Pretraining.vtt
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5.2 KB
9. Recommender RBM Code pt 3.mp4
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128.5 MB
9. Recommender RBM Code pt 3.vtt
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12 KB
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