November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Summary
In this chapter, we first looked at what GANs are. They are a new kind of generative model that helps us to generate new images.
We also touched upon other kinds of generative models, such as Variational Auto-encoders and PixelRNN, to get an overview of different kinds of generative models. We also talked about different kinds of GANs to discuss the progress that had been made in this space since the first paper on GANs was published in 2014.
Then, we learned about DiscoGANs, a new type of GAN that can help us to learn about cross- domain relationships. Specifically, in this chapter, our focus was on building a model to generate handbag images from shoes and vice versa.
Finally, we learned about the architecture of DiscoGANs and ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.