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codes/Fashion-MNIST first commit Oct 28, 2019
Readme.md first commit Oct 28, 2019
poster.pdf a few changes Dec 6, 2019
slides.pdf mod Dec 6, 2019

Readme.md

Codes for the experiments in the paper


Fashion-MNIST dataset

The dataset is available [here] (https://github.com/zalandoresearch/fashion-mnist).

Put the data in the directory modelname/data/fashion-mnist, modelname = ['VAE','DCGAN','WGAN','WGAN-GP']

Files

  • train.py -- train each model.
  • GD_regular.py/GD_surfing.py -- apply surfing and regular gradient descent to solve $f(x) = |G(x)-G(x_*)|^2$.
  • compress.py -- apply surfing and regular gradient descent to solve $f(x) = |AG(x)-Ay|^2$, where $y$ is from test data.
  • compressX.py -- apply surfing and regular gradient descent to solve $f(x) = |AG(x)-AG(x_*)|^2$.
  • make-data.py -- generate data used to plot the surfaces in introduction.

Reference

The following codes are from https://github.com/hwalsuklee/tensorflow-generative-model-collections

  • VAE.py
  • GAN.py
  • WGAN.py
  • WGAN-GP.py
  • ops.py
  • prior_factory.py
  • utils.py
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