January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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What this book covers
Chapter 1, The Apache Spark Ecosystem, provides a comprehensive overview of the Apache Spark modules and its different deployment modes.
Chapter 2, Deep Learning Basics, introduces the basic concepts of deep learning.
Chapter 3, Extract, Transform, Load, introduces the DL4J framework and presents training data ETL examples from diverse sources.
Chapter 4, Streaming, presents data streaming examples using Spark and DL4J DataVec.
Chapter 5, Convolutional Neural Networks, goes deeper into the theory behind CNNs and model implementation through DL4J.
Chapter 6, Recurrent Neural Networks, goes deeper into the theory behind RNNs and model implementation through DL4J.
Chapter 7, Training Neural Networks in Spark, explains how ...
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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.