Deeplearning4j provides the MNIST dataset loader out of the box. The loader is initialized as DataSetIterator. First let's import the DataSetIterator class and all of the supported datasets that are part of the impl package, for example, iris, MNIST, and others:
import org.deeplearning4j.datasets.iterator.DataSetIterator; import org.deeplearning4j.datasets.iterator.impl.*;
Next, we'll define some constants, for instance, the images consist of 28 x 28 pixels and there are 10 target classes and 60,000 samples. We'll initialize a new MnistDataSetIterator class that will download the dataset and its labels. The parameters are the iteration batch size, total number of examples, and whether the datasets should be binarized or ...
