kennysong/tf-tutorial

Notes & examples on TensorFlow

Order of files

low_level.py
tensorboard.py
datasets.py
eager.py

mlp_low_level.py

mlp_estimator_custom.py
mlp_estimator_premade.py

Run things with python3 -i ____.py in this directory.

Resources

Overview Stuff

A Sweeping Tour of TensorFlow (fast overview of the TF Python API)

Deep Learning From Scratch I: Computational Graphs (pedagogical implementation of TF primitives: Graphs, Ops, etc)

A Promenade of PyTorch (great comparison of define-by-run vs. define-and-run in the "Overview and Philosophy" section)

A Tour of TensorFlow (only useful section is "II. History of Machine Learning Libraries" for a brief chronology)

Detailed Stuff

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (original white paper that details interface and implementation decisions)

CS 20: Tensorflow for Deep Learning Research (best hand-holding introduction to the TF Python API)

TensorFlow Guide (every page of the Guide is useful, the Tutorials are not)