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GANs in Action by Jakub Langr, Vladimir Bok

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Chapter 4. Deep Convolutional GAN

This chapter covers

  • Understanding key concepts behind convolutional neural networks
  • Using batch normalization
  • Implementing Deep Convolutional GAN, an advanced GAN architecture

In the previous chapter, we implemented a GAN whose Generator and Discriminator were simple feed-forward neural networks with a single hidden layer. Despite this simplicity, many of the images of handwritten digits that the GAN’s Generator produced after being fully trained were remarkably convincing. Even the ones that were not recognizable as human-written numerals had many of the hallmarks of handwritten symbols, such as discernible line edges and shapes—especially when compared to the random noise used as the Generator’s raw input. ...

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