Stanford TensorFlow Tutorials 정리
This repository contains code Examples for the course CS20 (TensorFlow for Deep Learning Research)
Python 3.6 / Tensorflow 1.8
- 03 _ Lecture slide _ Basic Models in TensorFlow.pdf
- 03.01 Basic Models in TensorFlow (Linear Regression + Data + MSE).ipynb
- 03.02 Basic Models in TensorFlow (Linear Regression + placeholder + MSE) .ipynb
- 03.03 Basic Models in TensorFlow (Logistic Regression + Data + CE) .ipynb
- 03.04 Basic Models in TensorFlow (Logistic Regression + placehold + CE) .ipynb
- 04 Eager Execution + word2vec.pdf
- 04.01 Eager execution.ipynb
- 04.02 Eager execution (Linear Regression).ipynb
- 04.03 Eager execution (Word2Vec).ipynb
- 04.04 Eager execution (Word2Vec Visualize).ipynb
- 05_Slide_Managing your experiment.pdf
- 05.01 Manage Experiments.ipynb
- 05.02 Manage Experiments (Variable Sharing).ipynb
- 05.03 Manage Experiments.ipynb
- 05.04 Manage Experiments (Control Randomization).ipynb
ChangWookJun / @changwookjun (changwookjun@gmail.com)