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Tensorflow Implementation of DCGAN with Conditional Capabilities

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Refactored DCGAN Implementation

Refactored the codes from carpedm20

  • Make codes re-runnable inside Spyder IDE without needing to restart the kernel
  • Make less dependent on command line arguments
  • Additional Code Refactor

Original Authors:

Prerequisites

Usage

First, download dataset with:

$ python download.py mnist celebA

To train a model with downloaded dataset:

$ python main.py --dataset mnist --train
$ python main.py --dataset celebA --train

To test with an existing model:

$ python main.py --dataset mnist
$ python main.py --dataset celebA

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