Java Deep Learning Cookbook

How it works...

In step 1, we used a computation graph when configuring the neural network's structure. Computation graphs are the best choice for recurrent neural networks. We get an evaluation score of approximately 78% with a multi-layer network and a whopping 94% while using a computation graph. We get better results with ComputationGraph than the regular multi-layer perceptron. ComputationGraph is meant for complex network structures and can be customized to accommodate different types of layers in various orders. InvocationType.EPOCH_END is used (score iteration) in step 1 to call the score iterator at the end of a test iteration.

Note that we're calling the score iterator for every test iteration, and not for the training set iteration. ...