October 2018
Intermediate to advanced
252 pages
6h 49m
English
Content preview from Keras Deep Learning Cookbook
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What this book covers
Chapter 1, Keras Installation, covers various installation and setup procedures, as well as defining various Keras configurations.
Chapter 2, Working with Keras Datasets and Models, covers using various datasets, such as CIFAR10, CIFAR100, or MNIST, and many other datasets and models used for image classification.
Chapter 3, Data Preprocessing, Optimization, and Visualization, covers various preprocessing and optimization techniques using Keras. The optimization techniques covered include TFOptimizer, AdaDelta, and many more.
Chapter 4, Classification Using Different Keras Layers, details various Keras layers, for example, recurrent layers, and convolutional layers.
Chapter 5, Implementing Convolutional Neural Networks ...
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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.