January 2019
Intermediate to advanced
322 pages
7h 29m
English
Content preview from Hands-On Deep Learning with Apache Spark
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Image preprocessing
The approach described in this section, image preprocessing into batches of files, relies on the ND4J FileBatch class (https://static.javadoc.io/org.nd4j/nd4j-common/1.0.0-beta3/org/nd4j/api/loader/FileBatch.html), which is available starting from the 1.0.0-beta3 release of that library. This class can store the raw content of multiple files in byte arrays (one per file), including their original paths. A FileBatch object can be stored to disk in ZIP format. This can reduce the number of disk reads that are required (because of fewer files) and network transfers when reading from remote storage (because of the ZIP compression). Typically, the original image files that are used to train a CNN make use of an efficient (in ...
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