May 2018
Beginner to intermediate
384 pages
10h 19m
English
In order to train the deep neural networks on Spark using DL4J, two primary wrapper classes need to be used:
The network configuration process for the standard, as well as the distributed, mode remains same. That means, we configure the network properties by creating a MultiLayerConfiguration instance. The workflow for deep learning on Spark with DL4J can be depicted as follows:

Here are the sample code snippets for the workflow steps:
MultiLayerConfiguration conf ...
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