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[FreeTutorials.Us] unsupervised-deep-learning-in-python
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2019-11-14 00:31
2024-12-16 06:44
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556.36 MB
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unsupervised-deep-learning-in-python
文件列表
01 Introduction and Outline/001 Introduction and Outline.mp4
3.27MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4
5.18MB
01 Introduction and Outline/003 How to Succeed in this Course.mp4
9.52MB
02 Principal Components Analysis/004 What does PCA do.mp4
11.49MB
02 Principal Components Analysis/005 PCA derivation.mp4
6.66MB
02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4
9.38MB
02 Principal Components Analysis/007 PCA objective function.mp4
3.68MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4
7.9MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4
15.1MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4
9.31MB
03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4
4.34MB
04 Autoencoders/012 Autoencoders.mp4
5.82MB
04 Autoencoders/013 Denoising Autoencoders.mp4
3.43MB
04 Autoencoders/014 Stacked Autoencoders.mp4
6.6MB
04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4
38.51MB
04 Autoencoders/016 Testing our Autoencoder Theano.mp4
11.36MB
04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4
41.96MB
04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4
24.45MB
04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4
18.53MB
04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp4
7.41MB
04 Autoencoders/021 Deep Autoencoder Visualization Description.mp4
2.45MB
04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp4
27.85MB
05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4
14.38MB
05 Restricted Boltzmann Machines/024 Deriving Conditional Probabilities from Joint Probability.mp4
9.37MB
05 Restricted Boltzmann Machines/025 Contrastive Divergence for RBM Training.mp4
4.84MB
05 Restricted Boltzmann Machines/026 RBM in Code Theano with Greedy Layer-Wise Training on MNIST.mp4
47.76MB
05 Restricted Boltzmann Machines/027 RBM in Code Tensorflow.mp4
13.7MB
06 The Vanishing Gradient Problem/028 The Vanishing Gradient Problem Description.mp4
5.2MB
06 The Vanishing Gradient Problem/029 The Vanishing Gradient Problem Demo in Code.mp4
31.29MB
07 Extras Visualizing what features a neural network has learned/030 Exercises on feature visualization and interpretation.mp4
3.75MB
07 Extras Visualizing what features a neural network has learned/031 BONUS Where to get Udemy coupons and FREE deep learning material.mp4
2.23MB
07 Extras Visualizing what features a neural network has learned/032 BONUS How to derive the free energy formula.mp4
10.88MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/033 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp4
3.93MB
08 BONUS Application of PCA SVD to NLP Natural Language Processing/034 BONUS Latent Semantic Analysis in Code.mp4
25.61MB
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
25.98MB
09 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
43.92MB
09 Appendix/037 How to Code by Yourself part 1.mp4
24.53MB
09 Appendix/038 How to Code by Yourself part 2.mp4
14.8MB
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