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Java Deep Learning Cookbook
book

Java Deep Learning Cookbook

by Rahul Raj
November 2019
Intermediate to advanced
304 pages
8h 40m
English
Packt Publishing
Content preview from Java Deep Learning Cookbook

How it works...

In step 1, we performed on-heap/off-heap memory configurations. On-heap memory simply means the memory that is managed by the JVM heap (garbage collector). Off-heap memory refers to memory that is not managed directly, such as that used with INDArrays. Both off-heap and on-heap memory limits can be controlled using the following VM options in Java command-line arguments:

  • -Xms: This defines how much memory will be consumed by the JVM heap at application startup.
  • -Xmx: This defines the maximum memory that can be consumed by the JVM heap at any point in runtime. This involves allotting memory only up to this point when it is required.
  • -Dorg.bytedeco.javacpp.maxbytes: This specifies the off-heap memory limit.
  • -Dorg.bytedeco.javacpp.maxphysicalbytes ...
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Publisher Resources

ISBN: 9781788995207Supplemental Content