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Hands-On Deep Learning with Apache Spark
book

Hands-On Deep Learning with Apache Spark

by Guglielmo Iozzia
January 2019
Intermediate to advanced content levelIntermediate to advanced
322 pages
7h 29m
English
Packt Publishing
Content preview from Hands-On Deep Learning with Apache Spark

Hands-on CNN with Spark

In the previous sections of this chapter, we went through the theory of CNNs and the GoogleNet architecture. If this is the first time you're reading about these concepts, probably you are wondering about the complexity of the Scala code to implement CNN's models, train, and evaluate them. Adopting a high-level framework like DL4J, you are going to discover how many facilities come out-of-the-box with it and that the implementation process is easier than expected.

In this section, we are going to explore a real example of CNN configuration and training using the DL4J and Spark frameworks. The training data used comes from the MNIST database (http://yann.lecun.com/exdb/mnist/). It contains images of handwritten digits, ...

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Publisher Resources

ISBN: 9781788994613Supplemental Content