EffectiveTensorflow:TensorFlow tutorials and best practices

https://github.com/vahidk/EffectiveTensorflow

1. TensorFlow Basics
2. Understanding static and dynamic shapes
3. Scopes and when to use them
4. Broadcasting the good and the ugly
5. Feeding data to TensorFlow
6. Take advantage of the overloaded operators
7. Understanding order of execution and control dependencies
8. Control flow operations: conditionals and loops
9. Prototyping kernels and advanced visualization with Python ops
10. Multi-GPU processing with data parallelism
11. Debugging TensorFlow models
12. Numerical stability in TensorFlow
13. Building a neural network training framework with learn API
14. TensorFlow Cookbook
    • Get shape
    • Batch gather
    • Beam search
    • Merge
    • Entropy
    • KL-Divergence
    • Make parallel
    • Leaky Relu
    • Batch normalization
    • Squeeze and excitation