For all your TensorFlow Variational Autoencoder needs.
This is the repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs. Start there, then check out the repo!
- Part I: Introducing Variational Autoencoders (in Prose and Code)
- Part II: Under the Hood of the Variational Autoencoder (in Prose and Code)
To train a new model, edit main.py with your desired VAE ARCHITECTURE,
HYPERPARAMETERS, and paths/to/outdirs.
Then, simply:
$ python main.py
OR, restore a trained model from its saved meta_graph via:
$ python main.py <path/to/meta_graph_name>
(without the .meta suffix)