Java: Data Science Made Easy

Building an autoencoder in DL4J

This example is adapted from http://deeplearning4j.org/deepautoencoder. We start with a try-catch block to handle errors that may crop up and with a few variable declarations. This example uses the Mnist (http://yann.lecun.com/exdb/mnist/) dataset, which is a set of images containing hand-written numbers. Each image consists of 28 by 28 pixels. An iterator is declared to access the data:

try {     final int numberOfRows = 28;     final int numberOfColumns = 28;     int seed = 123;     int numberOfIterations = 1;     iterator = new MnistDataSetIterator(         1000, MnistDataFetcher.NUM_EXAMPLES, true);     ... } catch (IOException ex) {     // Handle exceptions }