/tf_practice

TensorFlow 1.x Practice

Primary LanguageJupyter Notebook

Yet Anothoer (and outdated) TensorFlow 1.x Examples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