README.md

Tensorflow VAE

This repository contains an implementation of a Variational Autoencoder. See in depth tutorial on Medium post titled VAEs I ! Generating images with Tensorflow .

Parameters

-- learning_rate      Initial learning rate
--epochs              Number of training epochs 
--batch_size          Minibatch training size
--latent_dim          Number of latent space dimensions
--test_image_number   Number of test images to recover during training
--inputs_decoder      Size of decoder input layer
--dataset             Dataset name [mnist, fashion-mnist]
--logdir              Log folder
--plot_latent         Plot latent space distribution [True, False]

Run

$ python autoencoder.py  --latent_dim=2 --dataset=mnist --epochs=50

Example