sugyan / Tf Dcgan
Licence: mit
DCGAN implementation by TensorFlow
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TensorFlow implementation of DCGAN
What is DCGAN ?
Deep Convolutional Generative Adversarial Networks
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
dcgan = DCGAN()
train_images = <images batch>
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
dcgan = DCGAN()
images = dcgan.sample_images()
with tf.Session() as sess:
# restore trained variables
generated = sess.run(images)
with open('<filename>', 'wb') as f:
f.write(generated)
Example
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