Learn TensorFlow : Video Tutorials

★ Table of Contents ★

1) Welcome

2) Introduction To TensorFlow

3) TensorFlow's Hello World

4) Tensors, Variables And Placeholders

5) Linear Regression With TensorFlow

6) Logistic Regression

7) Activation Functions

8) Introduction To Convolutional Networks

9) Convolution And Feature Learning

10) Convolution With Python And TensorFlow

11) The MNIST Database

12) Multilayer Perceptron With TensorFlow

13) Convolutional Network With TensorFlow

14) The Sequential Problem

15) The Recurrent Neural Network Model

16) The Long Short Term Memory Model

17) Recursive Neural Tensor Networks

18) Applying Recurrent Networks To Language Modelling

19) Introduction To Unsupervised Learning

20) RBMs And Autoencoders

21) Initializing A Restricted Boltzmann Machine

22) Training A Restricted Boltzmann Machine

23) Recommendation System With A Restrictive Boltzmann Machine

24) Introduction To Autoencoders

25) Autoencoder Structure

26) Autoencoders With TensorFlow

27) Deep Belief Networks

28) Course Summary

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