Requires TensorFlow r0.11
To run on MNIST dataset:
python vae.py
The model parameters (such as number of iterations, latent space size, train/test, number of generated images) can be changed via command line. For a description:
python vae.py --help
The model will be stored in the model/ folder. Training not necessary if a model already exists in the model/ folder:
python vae.py --TRAIN=False
The log files (events) will be stored in the logs/ folder. After running the program, vizualize the results (initial vs decoded images and images generated from noise) in tensorboard by reading the events in the logs/ folder:
tensorboard --logdir=logs
Open the generated URL in the browser and navigate to IMAGES.
The MIT License (MIT)
Copyright (c) 2016 Mihai Fieraru, Alina Dima
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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