November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Training GANs
The following diagram illustrates the basic architecture of GANs:
A random input is used to generate a sample of data. For example, a generator, G(z), uses a prior distribution, p(z), to achieve an input, z. Using z, it then generates some data. This output is fed as input to the discriminator neural network, D(x). It takes an input x from 
, where 
is our real data distribution. D(x) then solves a binary classification problem using ...
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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.