Tag Archives: fall

CycleGAN and Chef-RNN update

There has been a development in image generation that I find absolutely fascinating. It’s based off Generative Adversarial Networks, which are a very powerful and promising model for image generation. A recent modification to this architecture, the Conditional GAN has been making some … Continue reading

Posted in char-rnn, CycleGAN | Tagged , , , , , , | 2 Comments