tensorflow_deep_learning_models
tensorflow_deep_learning_models copied to clipboard
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Deep learning models in TensorFlow
This repository contains jupyter notebooks implementing several deep learning models using TensorFlow. Each notebook contains detailed explanations about each model, hopefully making it easy to understand all steps.
The notebooks run in Python 3.6, Tensorflow 1.8
Models:
- Basic Variational Autoencoder
- Improved Variational Autoencoder
- Recurrent Neural Network
- Convolutional Neural Network