Tensorflow tutorials and best practices

  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

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