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Chapter09/9.02 Generating Specific Handwritten Digit Using CGAN.ipynb

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Chapter09/9.05 Constructing InfoGan in Tensorflow.ipynb

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Chapter09/9.07 Converting photos to paintings using CycleGAN.ipynb

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Chapter09/README.md

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# [Chapter 9. Learning more about GANs](#)
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* 9.1. Conditional GAN
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* 9.1.1. Loss Function of CGAN
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* [9.2. Generating specific digits using CGAN](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/09.%20Learning%20more%20about%20GANs/9.02%20Generating%20Specific%20Handwritten%20Digit%20Using%20CGAN.ipynb)
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* 9.3. Understanding InfoGAN
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* 9.3.1. Exploring Mutual Information
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* 9.4. Architecture of InfoGAN
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* [9.5. Constructing InfoGAN in tensorflow](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/09.%20Learning%20more%20about%20GANs/9.05%20Constructing%20InfoGan%20in%20Tensorflow.ipynb)
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* 9.6. Translating images using CycleGAN
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* 9.6.1. Role of generators
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* 9.6.2. Role of discriminators
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* 9.6.3. Loss Function
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* 9.6.4. Cycle Consistency Loss
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* [9.7. Converting photos to paintings using CycleGAN](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/09.%20Learning%20more%20about%20GANs/9.07%20Converting%20photos%20to%20paintings%20using%20CycleGAN.ipynb)
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* 9.8. Text to image synthesis using Stack GAN
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* 9.8.1. Architecture of GANs
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* 9.8.2. Conditioning Augmentation
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* 9.8.3. Stage I of stack GAN
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* 9.8.4. Stage II of stack GAN
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Chapter09/images/1.png

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