Generative adversarial nets (GAN) , DCGAN, CGAN, InfoGAN”

Toward Multimodal Image-to-Image Translation

TensorFlow provides optimizers that slowly change each variable in order to minimize the loss function. The simplest optimizer is gradient descent. It modifies each variable according to the magnitude of the derivative of loss with respect to that variable

optimizer = tf.train.GradientDescentOptimizer(0.01)
train = optimizer.minimize(loss)
sess.run(init)  # reset values to incorrect defaults.
for i in range(1000):
    sess.run(
        train, {x: [1, 2, 3, 4], y: [0, -1, -2, -3]})
print("...", sess.run([W, b]))