Tensorflow tutorials and best practices

~ irrlab

  1. Tensorflow Basics
  2. Understanding static and dynamic shapes
  3. Broadcasting the good and the ugly
  4. Understanding order of execution and control dependencies
  5. Control flow operations: conditionals and loops
  6. Prototyping kernels and advanced visualization with Python ops
  7. Multi-GPU processing with data parallelism
  8. Building a neural network framework with learn API
  9. Tensorflow Cookbook

https://github.com/vahidk/EffectiveTensorflow

Published by irrlab

Software engineer. Functional programming addicted.