https://github.com/sugyan/tf-dcgan

DCGAN implementation by TensorFlow
https://github.com/sugyan/tf-dcgan

dcgan tensorflow

Last synced: about 1 month ago
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DCGAN implementation by TensorFlow

• Host: GitHub
• URL: https://github.com/sugyan/tf-dcgan
• Owner: sugyan
• License: mit
• Created: 2016-05-25T12:22:42.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-20T02:10:28.000Z (almost 8 years ago)
• Last Synced: 2024-08-03T15:04:44.799Z (5 months ago)
• Topics: dcgan, tensorflow
• Language: Python
• Size: 19.5 KB
• Stars: 156
• Watchers: 9
• Forks: 50
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TensorFlow implementation of DCGAN

### What is DCGAN ? ###

Deep Convolutional Generative Adversarial Networks

- http://arxiv.org/abs/1511.06434

#### Other implementations of DCGAN ####

- https://github.com/Newmu/dcgan_code (Theano)

- https://github.com/soumith/dcgan.torch (Torch)

- https://github.com/mattya/chainer-DCGAN (Chainer)

- https://github.com/carpedm20/DCGAN-tensorflow (TensorFlow)

### Prerequisites ###

- Python >= 2.7 or 3.5

 - TensorFlow >= 1.0

### Usage ###

#### Train ####

```python

dcgan = DCGAN()

train_images = 

losses = dcgan.loss(train_images)

train_op = dcgan.train(losses)

with tf.Session() as sess:

    sess.run(tf.global_variables_initializer())

    for step in range(FLAGS.max_steps):

        _, g_loss_value, d_loss_value = sess.run([train_op, losses[dcgan.g], losses[dcgan.d]])

    # save trained variables

```

#### Generate ####

```python

dcgan = DCGAN()

images = dcgan.sample_images()

with tf.Session() as sess:

    # restore trained variables

    generated = sess.run(images)

    with open('', 'wb') as f:

        f.write(generated)

```

### Example ###

- https://github.com/sugyan/face-generator