| [FreeTutorials.Us] unsupervised-deep-learning-in-python/01 Introduction and Outline/001 Introduction and Outline.mp4 |
3.3 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 |
5.2 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/01 Introduction and Outline/003 How to Succeed in this Course.mp4 |
9.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/02 Principal Components Analysis/004 What does PCA do.mp4 |
11.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/02 Principal Components Analysis/005 PCA derivation.mp4 |
6.7 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 |
9.4 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/02 Principal Components Analysis/007 PCA objective function.mp4 |
3.7 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 |
7.9 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 |
15.1 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 |
9.3 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 |
4.3 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/012 Autoencoders.mp4 |
5.8 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/013 Denoising Autoencoders.mp4 |
3.4 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/014 Stacked Autoencoders.mp4 |
6.6 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 |
38.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/016 Testing our Autoencoder Theano.mp4 |
11.4 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4 |
42 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4 |
24.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4 |
18.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp4 |
7.4 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/021 Deep Autoencoder Visualization Description.mp4 |
2.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp4 |
27.9 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4 |
14.4 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/05 Restricted Boltzmann Machines/024 Deriving Conditional Probabilities from Joint Probability.mp4 |
9.4 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/05 Restricted Boltzmann Machines/025 Contrastive Divergence for RBM Training.mp4 |
4.8 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/05 Restricted Boltzmann Machines/026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4 |
47.8 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/05 Restricted Boltzmann Machines/027 RBM in Code Tensorflow.mp4 |
13.7 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/06 The Vanishing Gradient Problem/028 The Vanishing Gradient Problem Description.mp4 |
5.2 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/06 The Vanishing Gradient Problem/029 The Vanishing Gradient Problem Demo in Code.mp4 |
31.3 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/07 Extras Visualizing what features a neural network has learned/030 Exercises on feature visualization and interpretation.mp4 |
3.8 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/07 Extras Visualizing what features a neural network has learned/031 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 |
2.2 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/07 Extras Visualizing what features a neural network has learned/032 BONUS How to derive the free energy formula.mp4 |
10.9 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/08 BONUS Application of PCA SVD to NLP Natural Language Processing/033 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp4 |
3.9 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/08 BONUS Application of PCA SVD to NLP Natural Language Processing/034 BONUS Latent Semantic Analysis in Code.mp4 |
25.6 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/08 BONUS Application of PCA SVD to NLP Natural Language Processing/035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp4 |
26 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/09 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 |
43.9 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/09 Appendix/037 How to Code by Yourself part 1.mp4 |
24.5 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/09 Appendix/038 How to Code by Yourself part 2.mp4 |
14.8 MB |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/[FreeTutorials.Us].txt |
75 B |
| [FreeTutorials.Us] unsupervised-deep-learning-in-python/Freetutorials.Us.url |
119 B |
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