April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Understanding GANs
GANs, which were introduced by Ian Goodfellow, Yoshua Bengio, and others in NeurIPS 2014, took the world by storm. GANs, which can be applied to all sorts of domains, generate new content or sequences based on the model's learned approximation of real-world data samples. GANs have been used heavily for generating new samples of music and art, such as the faces shown in the following image, none of which existed in the training dataset:
Faces generated by GAN after 60 epochs of training. This image has been taken from https://github.com/gsurma/face_generator.
The amount of realism that's present in the preceding faces demonstrates ...
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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.
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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.