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/1. Introduction and Outline/
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1. Introduction and Outline.mp4
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3.4 MB
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1. Introduction and Outline.vtt
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0.4 KB
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2. Where does this course fit into your deep learning studies.mp4
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5.4 MB
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2. Where does this course fit into your deep learning studies.vtt
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0.4 KB
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3. How to Succeed in this Course.mp4
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6.7 MB
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3. How to Succeed in this Course.vtt
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0.4 KB
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4. Where to get the code and data.mp4
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27.7 MB
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4. Where to get the code and data.vtt
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0.4 KB
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5. Tensorflow or Theano - Your Choice!.mp4
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19.9 MB
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5. Tensorflow or Theano - Your Choice!.vtt
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0.4 KB
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6. What are the practical applications of unsupervised deep learning.mp4
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12.2 MB
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6. What are the practical applications of unsupervised deep learning.vtt
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0.4 KB
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/10. Basics Review/
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1. (Review) Theano Basics.mp4
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98.0 MB
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1. (Review) Theano Basics.vtt
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6.5 KB
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2. (Review) Theano Neural Network in Code.mp4
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91.3 MB
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2. (Review) Theano Neural Network in Code.vtt
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3.4 KB
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3. (Review) Tensorflow Basics.mp4
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85.4 MB
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3. (Review) Tensorflow Basics.vtt
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5.2 KB
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4. (Review) Tensorflow Neural Network in Code.mp4
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102.1 MB
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4. (Review) Tensorflow Neural Network in Code.vtt
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4.9 KB
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5. (Review) Keras Basics.mp4
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29.0 MB
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5. (Review) Keras Basics.vtt
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8.2 KB
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6. (Review) Keras in Code pt 1.mp4
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69.4 MB
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6. (Review) Keras in Code pt 1.vtt
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6.6 KB
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7. (Review) Keras in Code pt 2.mp4
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40.5 MB
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7. (Review) Keras in Code pt 2.vtt
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4.8 KB
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/11. Optional - Legacy RBM Lectures/
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1. (Legacy) Restricted Boltzmann Machine Theory.mp4
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15.1 MB
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1. (Legacy) Restricted Boltzmann Machine Theory.vtt
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10.6 KB
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2. (Legacy) Deriving Conditional Probabilities from Joint Probability.mp4
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9.8 MB
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2. (Legacy) Deriving Conditional Probabilities from Joint Probability.vtt
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5.9 KB
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3. (Legacy) Contrastive Divergence for RBM Training.mp4
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5.1 MB
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3. (Legacy) Contrastive Divergence for RBM Training.vtt
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3.1 KB
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4. (Legacy) How to derive the free energy formula.mp4
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11.4 MB
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4. (Legacy) How to derive the free energy formula.vtt
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5.7 KB
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/12. Appendix/
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1. What is the Appendix.mp4
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5.7 MB
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1. What is the Appendix.vtt
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3.4 KB
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10. Python 2 vs Python 3.mp4
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8.2 MB
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10. Python 2 vs Python 3.vtt
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5.5 KB
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11. Is Theano Dead.mp4
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18.7 MB
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11. Is Theano Dead.vtt
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11.6 KB
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12. What order should I take your courses in (part 1).mp4
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30.8 MB
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12. What order should I take your courses in (part 1).vtt
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14.4 KB
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13. What order should I take your courses in (part 2).mp4
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39.4 MB
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13. What order should I take your courses in (part 2).vtt
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20.7 KB
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2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
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4.2 MB
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2. BONUS Where to get Udemy coupons and FREE deep learning material.vtt
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3.1 KB
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3. Windows-Focused Environment Setup 2018.mp4
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195.4 MB
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3. Windows-Focused Environment Setup 2018.vtt
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17.8 KB
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4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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46.0 MB
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4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
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12.7 KB
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5. How to Code by Yourself (part 1).mp4
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25.7 MB
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5. How to Code by Yourself (part 1).vtt
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20.3 KB
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6. How to Code by Yourself (part 2).mp4
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15.5 MB
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6. How to Code by Yourself (part 2).vtt
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11.9 KB
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7. How to Succeed in this Course (Long Version).mp4
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19.2 MB
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7. How to Succeed in this Course (Long Version).vtt
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13.1 KB
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8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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40.8 MB
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8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
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28.4 KB
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9. Proof that using Jupyter Notebook is the same as not using it.mp4
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82.1 MB
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9. Proof that using Jupyter Notebook is the same as not using it.vtt
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82.1 MB
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/2. Principal Components Analysis/
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1. What does PCA do.mp4
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29.1 MB
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1. What does PCA do.vtt
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5.1 KB
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10. SVD (Singular Value Decomposition).mp4
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44.5 MB
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10. SVD (Singular Value Decomposition).vtt
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10.6 KB
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2. How does PCA work.mp4
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53.4 MB
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2. How does PCA work.vtt
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12.7 KB
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3. Why does PCA work (PCA derivation).mp4
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53.8 MB
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3. Why does PCA work (PCA derivation).vtt
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0.4 KB
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4. PCA only rotates.mp4
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17.2 MB
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4. PCA only rotates.vtt
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0.4 KB
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5. MNIST visualization, finding the optimal number of principal components.mp4
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9.8 MB
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5. MNIST visualization, finding the optimal number of principal components.vtt
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3.4 KB
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6. PCA implementation.mp4
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33.6 MB
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6. PCA implementation.vtt
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0.4 KB
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7. PCA for NLP.mp4
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17.4 MB
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7. PCA for NLP.vtt
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4.0 KB
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8. PCA objective function.mp4
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3.9 MB
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8. PCA objective function.vtt
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2.3 KB
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9. PCA Application Naive Bayes.mp4
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56.3 MB
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9. PCA Application Naive Bayes.vtt
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11.0 KB
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/3. t-SNE (t-distributed Stochastic Neighbor Embedding)/
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1. t-SNE Theory.mp4
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8.3 MB
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1. t-SNE Theory.vtt
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4.9 KB
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2. t-SNE Visualization.mp4
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13.7 MB
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2. t-SNE Visualization.vtt
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4.9 KB
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3. t-SNE on the Donut.mp4
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15.8 MB
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3. t-SNE on the Donut.vtt
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2.3 KB
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4. t-SNE on XOR.mp4
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9.8 MB
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4. t-SNE on XOR.vtt
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3.7 KB
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5. t-SNE on MNIST.mp4
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4.6 MB
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5. t-SNE on MNIST.vtt
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1.6 KB
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/4. Autoencoders/
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1. Autoencoders.mp4
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6.1 MB
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1. Autoencoders.vtt
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4.0 KB
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10. Deep Autoencoder Visualization Description.mp4
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2.6 MB
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10. Deep Autoencoder Visualization Description.vtt
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2.0 KB
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11. Deep Autoencoder Visualization in Code.mp4
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29.2 MB
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11. Deep Autoencoder Visualization in Code.vtt
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6.8 KB
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12. An Autoencoder in 1 Line of Code.mp4
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26.1 MB
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12. An Autoencoder in 1 Line of Code.vtt
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5.2 KB
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2. Denoising Autoencoders.mp4
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3.6 MB
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2. Denoising Autoencoders.vtt
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2.3 KB
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3. Stacked Autoencoders.mp4
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6.9 MB
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3. Stacked Autoencoders.vtt
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4.3 KB
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4. Writing the autoencoder class in code (Theano).mp4
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40.4 MB
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4. Writing the autoencoder class in code (Theano).vtt
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6.2 KB
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5. Testing our Autoencoder (Theano).mp4
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11.9 MB
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5. Testing our Autoencoder (Theano).vtt
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2.7 KB
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6. Writing the deep neural network class in code (Theano).mp4
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44.0 MB
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6. Writing the deep neural network class in code (Theano).vtt
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6.5 KB
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7. Autoencoder in Code (Tensorflow).mp4
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25.6 MB
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7. Autoencoder in Code (Tensorflow).vtt
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8.4 KB
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8. Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4
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19.4 MB
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8. Testing greedy layer-wise autoencoder training vs. pure backpropagation.vtt
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1.9 KB
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9. Cross Entropy vs. KL Divergence.mp4
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7.8 MB
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9. Cross Entropy vs. KL Divergence.vtt
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5.6 KB
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/5. Restricted Boltzmann Machines/
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1. Basic Outline for RBMs.mp4
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34.6 MB
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1. Basic Outline for RBMs.vtt
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5.8 KB
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10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4
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50.1 MB
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10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.vtt
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6.9 KB
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11. RBM in Code (Tensorflow).mp4
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14.4 MB
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11. RBM in Code (Tensorflow).vtt
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0.4 KB
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2. Introduction to RBMs.mp4
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41.4 MB
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2. Introduction to RBMs.vtt
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0.4 KB
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3. Motivation Behind RBMs.mp4
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35.6 MB
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3. Motivation Behind RBMs.vtt
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0.4 KB
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4. Intractability.mp4
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13.5 MB
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4. Intractability.vtt
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0.4 KB
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5. Neural Network Equations.mp4
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33.2 MB
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5. Neural Network Equations.vtt
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7.6 KB
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6. Training an RBM (part 1).mp4
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51.5 MB
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6. Training an RBM (part 1).vtt
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12.0 KB
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7. Training an RBM (part 2).mp4
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28.7 MB
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7. Training an RBM (part 2).vtt
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6.6 KB
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8. Training an RBM (part 3) - Free Energy.mp4
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28.9 MB
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8. Training an RBM (part 3) - Free Energy.vtt
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7.2 KB
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9. RBM Greedy Layer-Wise Pretraining.mp4
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24.8 MB
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9. RBM Greedy Layer-Wise Pretraining.vtt
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5.3 KB
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/6. The Vanishing Gradient Problem/
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1. The Vanishing Gradient Problem Description.mp4
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5.5 MB
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1. The Vanishing Gradient Problem Description.vtt
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0.4 KB
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2. The Vanishing Gradient Problem Demo in Code.mp4
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32.8 MB
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2. The Vanishing Gradient Problem Demo in Code.vtt
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0.4 KB
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/7. Extras + Visualizing what features a neural network has learned/
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1. Exercises on feature visualization and interpretation.mp4
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3.9 MB
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1. Exercises on feature visualization and interpretation.vtt
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0.4 KB
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/8. Applications to NLP (Natural Language Processing)/
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1. Application of PCA and SVD to NLP (Natural Language Processing).mp4
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4.1 MB
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1. Application of PCA and SVD to NLP (Natural Language Processing).vtt
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0.4 KB
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2. Latent Semantic Analysis in Code.mp4
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26.9 MB
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2. Latent Semantic Analysis in Code.vtt
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0.4 KB
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3. Application of t-SNE + K-Means Finding Clusters of Related Words.mp4
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27.2 MB
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3. Application of t-SNE + K-Means Finding Clusters of Related Words.vtt
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0.4 KB
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/9. Applications to Recommender Systems/
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1. Recommender Systems Section Introduction.mp4
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71.5 MB
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1. Recommender Systems Section Introduction.vtt
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0.4 KB
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10. Recommender RBM Code Speedup.mp4
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87.0 MB
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10. Recommender RBM Code Speedup.vtt
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87.0 MB
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2. Why Autoencoders and RBMs work.mp4
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40.0 MB
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2. Why Autoencoders and RBMs work.vtt
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0.4 KB
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3. Data Preparation and Logistics.mp4
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22.2 MB
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3. Data Preparation and Logistics.vtt
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0.4 KB
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4. AutoRec.mp4
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51.3 MB
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4. AutoRec.vtt
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0.4 KB
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5. AutoRec in Code.mp4
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107.3 MB
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5. AutoRec in Code.vtt
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12.9 KB
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6. Categorical RBM for Recommender System Ratings.mp4
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49.9 MB
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6. Categorical RBM for Recommender System Ratings.vtt
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12.3 KB
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7. Recommender RBM Code pt 1.mp4
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73.8 MB
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7. Recommender RBM Code pt 1.vtt
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8.9 KB
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8. Recommender RBM Code pt 2.mp4
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41.5 MB
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8. Recommender RBM Code pt 2.vtt
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4.7 KB
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9. Recommender RBM Code pt 3.mp4
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134.8 MB
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9. Recommender RBM Code pt 3.vtt
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12.3 KB
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/
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[DesireCourse.Com].url
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0.1 KB
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Total files 169
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