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GANs in Action by Jakub Langr, Vladimir Bok

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Chapter 3. Your first GAN: Generating handwritten digits

This chapter covers

  • Exploring the theory behind GANs and adversarial training
  • Understanding how GANs differ from conventional neural networks
  • Implementing a GAN in Keras, and training it to generate handwritten digits

In this chapter, we explore the foundational theory behind GANs. We introduce the commonly used mathematical notation you may encounter if you choose to dive deeper into this field, perhaps by reading a more theoretically focused publication or even one of the many academic papers on this topic. This chapter also provides background knowledge for the more advanced chapters, particularly chapter 5.

From a strictly practical standpoint, however, you don’t have to worry ...

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