- 9.1. Conditional GAN
- 9.1.1. Loss Function of CGAN
- 9.2. Generating specific digits using CGAN
- 9.3. Understanding InfoGAN
- 9.3.1. Exploring Mutual Information
- 9.4. Architecture of InfoGAN
- 9.5. Constructing InfoGAN in tensorflow
- 9.6. Translating images using CycleGAN
- 9.6.1. Role of generators
- 9.6.2. Role of discriminators
- 9.6.3. Loss Function
- 9.6.4. Cycle Consistency Loss
- 9.7. Converting photos to paintings using CycleGAN
- 9.8. Text to image synthesis using Stack GAN
- 9.8.1. Architecture of GANs
- 9.8.2. Conditioning Augmentation
- 9.8.3. Stage I of stack GAN
- 9.8.4. Stage II of stack GAN
Chapter09
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