September 2020
Intermediate to advanced
318 pages
5h 16m
English
In Chapter 9, we delved into the generative and creative side of deep learning. There, we used two recurrent neural networks to forecast and generate classical-looking passages of text. But text data, or generally speaking, sequential data, is not the only thing that these neural networks can create. Images are possible too.
If there is a recent and radical algorithm that has taken over the machine learning field, it has to be the generative adversarial networks (Goodfellow et al., 2014), or GANs. GANs—which ...
