https://github.com/vahidk/EffectiveTensorflow
- TensorFlow Basics
- Understanding static and dynamic shapes
- Scopes and when to use them
- Broadcasting the good and the ugly
- Feeding data to TensorFlow
- Take advantage of the overloaded operators
- Understanding order of execution and control dependencies
- Control flow operations: conditionals and loops
- Prototyping kernels and advanced visualization with Python ops
- Multi-GPU processing with data parallelism
- Debugging TensorFlow models
- Numerical stability in TensorFlow
- Building a neural network training framework with learn API
- TensorFlow Cookbook