takat0m0 / AAE

adversarial autoencoder (AAE) with tensorflow for MNIST

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AAE

Adversarial Auto Encoder (AAE) with tensorflow for MNIST

usage

  • training
python main.py -d [MNIST csv file]
  • making figures after training
python using_result.py -d [MNIST csv file]

100 epoch results

AAE

Random sample from each Gaussian

0

0

1

1

2

2

walking from (0, 0) to (2, 0)

0to1

walking along with constant radius

const_r

About

adversarial autoencoder (AAE) with tensorflow for MNIST

License:MIT License


Languages

Language:Python 100.0%