My TensorFlow

The Nuggets don’t seem to have anything like an anthology, so LET’s take a page out of my own work on TensorFlow. Update irregularly.

TensorFlow Notes series

TensorFlow Notes (1) — Related basic concepts in TensorFlow
TensorFlow Notes (2) – Train the simplest unary linear model using TensorFlow
TensorFlow Notes (3) — Training a simplest handwritten number recognition model using TensorFlow and MNIST datasets
TensorFlow Notes (4) — Cost functions and fitting for optimizing handwritten digit recognition models
TensorFlow notes (5) — Optimizer for optimizing handwritten digit recognition models

Effective TensorFlow Chapter1 — TensorFlow basics
Effective TensorFlow Chapter2 — Understand static and dynamic shapes
Effective TensorFlow Chapter3 — Understand variable domain scopes and when you should use them
Effective TensorFlow Chapter4 — Advantages and disadvantages of the Broadcast mechanism in TensorFlow
Effective TensorFlow Chapter5 — In TensorFlow, “feed” the model with data
Effective TensorFlow Chapter6 — In TensorFlow, use operator overloading
Effective TensorFlow Chapter7 — Understand execution order and control dependencies
Effective TensorFlow Chapter8 — Control flow operations: Conditions and loops
Effective TensorFlow Chapter8 — Control flow operations: Conditions and loops
Effective TensorFlow Chapter8 — Control flow operations: Conditions and loops
Effective TensorFlow Chapter9 — Kernel design and advanced visualization using Python OPS
Effective TensorFlow Chapter10 — Leverage multiple Gpus to process parallel data in TensorFlow
Effective TensorFlow Chapter11 — Debug models in TensorFlow
Effective TensorFlow Chapter12 — Numerical stability in TensorFlow
Effective TensorFlow Chapter13 — Build a neural network framework using the Learn API in TensorFlow