Variational-Auto-Encoder

Tensorflow implementation of Variational Auto-Encoder

Explanation on Variational Autoencoders is in my blog post.

Content

• vae.py: Implementation of Variational Autoencoder
• layers.py: Contains implementation of basic layers required.
• main.py: Code for training VAE and generating new samples.

Results

Visualization of the latent space:

After 20 epochs.

Visualization of the 2D Latent Space Manifold during training:

Epoch-5 Epoch-10 Epoch-15 Epoch-20