September 2019
Intermediate to advanced
416 pages
13h 49m
English
book
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
by Jon Krohn, Grant Beyleveld, Aglaé Bassens
Content preview from Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
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Examples
5.1 Software dependencies for shallow net in Keras
5.2 Loading MNIST data
5.3 Flattening two-dimensional images to one dimension
5.4 Converting pixel integers to floats
5.5 Converting integer labels to one-hot
5.6 Keras code to architect a shallow neural network
5.7 Keras code to train our shallow neural network
8.1 Keras code to architect an intermediate-depth neural network
8.2 Keras code to compile our intermediate-depth neural network
8.3 Keras code to train our intermediate-depth neural network
9.1 Weight initialization with values sampled from standard normal distribution
9.2 Architecture for a single dense layer of sigmoid neurons
9.3 Weight initialization with values sampled ...
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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.