sjchoi86 / tf_practice

TensorFlow 1.x Practice

Yet Anothoer (and outdated) TensorFlow 1.x Examples

• Try to be self-contained as possible within a single Jupyter notebook.
• Try to use tf.layer for more unified implementation.

This repo contains

• Linear regression
• MLP: Multi Layer Perceptron for MNIST Classification
• CNN: Convolutional Neural Networks for MNIST Classification
• MDN: Mixture Density Network for Toy Regression Task
• PPO: Proximal Policy Optimization for PyBullet Ant
• SAC: Soft Actor-Critic for PyBullet Ant
• VAE: Variational AutoEncoder
• WAE: Wasserstein AutoEncoder
• GAN: Generative Adversarial Networks
• TF Model save and restore
• Parallel Processing with Ray
• Parallel Rollouts with TF Model
• Distributed PPO with Ray
• Using Custom Forward and Backward Paths in TF