unsupervised-deep-learni-1B875
- 01 Introduction and Outline\\/001 Introduction and Outline.mp43.27MB
- 01 Introduction and Outline\\/002 Where does this course fit into your deep learning studies.mp45.18MB
- 01 Introduction and Outline\\/003 How to Succeed in this Course.mp49.52MB
- 02 Principal Components Analysis\\/004 What does PCA do.mp411.49MB
- 02 Principal Components Analysis\\/005 PCA derivation.mp46.66MB
- 02 Principal Components Analysis\\/006 MNIST visualization finding the optil number of principal components.mp49.38MB
- 02 Principal Components Analysis\\/007 PCA ob<x>jective function.mp43.68MB
- 03 t-SNE t-distributed Stochastic Neighbor em<x>bedding\\/008 t-SNE Theory.mp47.90MB
- 03 t-SNE t-distributed Stochastic Neighbor em<x>bedding\\/009 t-SNE on the Donut.mp415.10MB
- 03 t-SNE t-distributed Stochastic Neighbor em<x>bedding\\/010 t-SNE on XOR.mp49.31MB
- 03 t-SNE t-distributed Stochastic Neighbor em<x>bedding\\/011 t-SNE on MNIST.mp44.34MB
- 04 Autoencoders\\/012 Autoencoders.mp45.82MB
- 04 Autoencoders\\/013 Desing Autoencoders.mp43.43MB
- 04 Autoencoders\\/014 Stacked Autoencoders.mp46.60MB
- 04 Autoencoders\\/015 Writing the autoencoder class in code Theano.mp438.51MB
- 04 Autoencoders\\/016 Testing our Autoencoder Theano.mp411.36MB
- 04 Autoencoders\\/017 Writing the deep neural network class in code Theano.mp441.96MB
- 04 Autoencoders\\/018 Autoencoder in Code Tensorflow.mp424.45MB
- 04 Autoencoders\\/019 Testing greedy la<x>yer-wise autoencoder training vs. pure backpropagation.mp418.53MB
- 04 Autoencoders\\/020 Cross Entropy vs. KL Divergence.mp47.41MB
- 04 Autoencoders\\/021 Deep Autoencoder Visualization Desc<x>ription.mp42.45MB
- 04 Autoencoders\\/022 Deep Autoencoder Visualization in Code.mp427.85MB
- 05 Restricted Boltznn Machines\\/023 Restricted Boltzmann Machine Theory.mp414.38MB
- 05 Restricted Boltznn Machines\\/024 Deriving Conditional Probabilities from Joint Probability.mp49.37MB
- 05 Restricted Boltznn Machines\\/025 Contrastive Divergence for RBM Training.mp44.84MB
- 05 Restricted Boltznn Machines\\/026 RBM in Code Theano with Greedy la<x>yer-Wise Training on MNIST.mp447.76MB
- 05 Restricted Boltznn Machines\\/027 RBM in Code Tensorflow.mp413.70MB
- 06 The Vanishing Gradient Problem\\/028 The Vanishing Gradient Problem Desc<x>ription.mp45.20MB
- 06 The Vanishing Gradient Problem\\/029 The Vanishing Gradient Problem Demo in Code.mp431.29MB
- 07 Extras Visualizing what features a neural network has learned\\/030 Exercises on feature visualization and interpretation.mp43.75MB
- 07 Extras Visualizing what features a neural network has learned\\/031 BONUS Where to get Udemy coupons and FREE deep learning terial.mp42.23MB
- 07 Extras Visualizing what features a neural network has learned\\/032 BONUS How to derive the free energy formula.mp410.88MB
- 08 BONUS Application of PCA SVD to NLP Natural Language Processing\\/033 BONUS Application of PCA and SVD to NLP Natural Language Processing.mp43.93MB
- 08 BONUS Application of PCA SVD to NLP Natural Language Processing\\/034 BONUS Latent Sentic Analysis in Code.mp425.61MB
- 08 BONUS Application of PCA SVD to NLP Natural Language Processing\\/035 BONUS Application of t-SNE K-Means Finding Clusters of Related Words.mp425.98MB
- 09 Appendix\\/036 How to install Numpy Scipy tplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
- 09 Appendix\\/037 How to Code by Yourself part 1.mp424.53MB
- 09 Appendix\\/038 How to Code by Yourself part 2.mp414.80MB
- CreateTime2021-08-25
- UpdateTime2021-09-06
- FileTotalCount40
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