Book Content
chapters • 8h56m total length
1. What is a Generative Adversarial Network?
2. Data First - How to prepare your dataset
3. My First GAN in under 100 lines
4. Dreaming new Kitchens using DCGAN
5. Pix2Pix Image-to-Image Translation
6. Style Transfering Your image using CycleGAN
7. Use Simulated Images to Create Photo Realistic Eyeballs using simGAN
8. From Image to 3D Models using GANs
