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Udemy - Unsupervised Deep Learning in Python - TUTSEM

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Title: Udemy - Unsupervised Deep Learning in PythonGroup: TUTSEMSource: Udemy
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D0B46B392FD02336067AB09446DDFC0C97F3C12D
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Unverified
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556.36 MB
Total Files
42
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01 Introduction and Outline/001 Introduction and Outline.mp43.27 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp45.18 MB
01 Introduction and Outline/003 How to Succeed in this Course.mp49.52 MB
02 Principal Components Analysis/004 What does PCA do.mp411.49 MB
02 Principal Components Analysis/005 PCA derivation.mp46.66 MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp49.38 MB
02 Principal Components Analysis/007 PCA objective function.mp43.68 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp47.9 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp415.1 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp49.31 MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp44.34 MB
04 Autoencoders/012 Autoencoders.mp45.82 MB
04 Autoencoders/013 Denoising Autoencoders.mp43.43 MB
04 Autoencoders/014 Stacked Autoencoders.mp46.6 MB
04 Autoencoders/015 Writing the autoencoder class in code Theano.mp438.51 MB
04 Autoencoders/016 Testing our Autoencoder Theano.mp411.36 MB
04 Autoencoders/017 Writing the deep neural network class in code Theano.mp441.96 MB
04 Autoencoders/018 Autoencoder in Code Tensorflow.mp424.45 MB
04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp418.53 MB
04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp47.41 MB
04 Autoencoders/021 Deep Autoencoder Visualization Description.mp42.45 MB
04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp427.85 MB
05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp414.38 MB
05 Restricted Boltzmann Machines/024 Deriving Conditional Probabilities from Joint Probability.mp49.37 MB
05 Restricted Boltzmann Machines/025 Contrastive Divergence for RBM Training.mp44.84 MB
05 Restricted Boltzmann Machines/026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp447.76 MB
05 Restricted Boltzmann Machines/027 RBM in Code Tensorflow.mp413.7 MB
06 The Vanishing Gradient Problem/028 The Vanishing Gradient Problem Description.mp45.2 MB
06 The Vanishing Gradient Problem/029 The Vanishing Gradient Problem Demo in Code.mp431.29 MB
07 Extras Visualizing what features a neural network has learned/030 Exercises on feature visualization and interpretation.mp43.75 MB
07 Extras Visualizing what features a neural network has learned/031 BONUS Where to get Udemy coupons and FREE deep learning material.mp42.23 MB
07 Extras Visualizing what features a neural network has learned/032 BONUS How to derive the free energy formula.mp410.88 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/033 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp43.93 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/034 BONUS Latent Semantic Analysis in Code.mp425.61 MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp425.98 MB
09 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92 MB
09 Appendix/037 How to Code by Yourself part 1.mp424.53 MB
09 Appendix/038 How to Code by Yourself part 2.mp414.8 MB

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