Tensorflow TL;DR

View the notebook in nbviewer for a seamless experience.

Contents

1. Tensorflow architecture and components
2. Properties and types of tensors
3. A generic Tensorflow pipeline
4. Basics on Session object used in Tensorflow pipeline
5. Bsics on Graph used in tesorflow
6. Basics on Tensorboard
7. Using estimators in linear regression
   1. Basics on feautre column used in tensorflow
8. Basics on Facets and Facets deep drive used for data visualization
9. Example to visualize and to create a binar classifier
10. Example to use kernel methods in a classifier
11. Basics on Artificial Neural Network
12. Convolution Neural Network