May 2019
Intermediate to advanced
272 pages
7h 19m
English
Content preview from Hands-On Generative Adversarial Networks with Keras
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Recent and yet-to-be-explored GAN topics
In this section, we will cover a few recent and yet-to-be-explored topics of GANs that are challenging, interesting, and valuable.
In my opinion, one of the most interesting topics in GANs and deep learning is verified AI. This topic was described in Sanjit Seshia's Towards Verified AI paper in 2016 and is later addressed in a blog post by Google's DeepMind team. There are many challenges involved in achieving verified AI. Some of these challenges include testing, training, and formally proving that the models are specification-consistent.
Other fields that have recently received attention from GAN researchers include biology and its related subfields. There are GAN models that address the problem ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.