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[FreeTutorials.Us] unsupervised-deep-learning-in-python

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2019-07-03

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FreeTutorials Us unsupervised deep learning in python

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File Name

Size

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

[FreeTutorials.Us].txt

75B

Freetutorials.Us.url

119B

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