July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Using hyperparameters in ND4J
Builder classes are common in DL4J. In the previous example, the NeuralNetConfiguration.Builder class is used. The methods used here are but a few of the many that are available. In the following table, we describe several of them:
| Method | Usage |
| iterations | Controls the number of optimization iterations performed |
| activation | This is the activation function used |
| weightInit | Used to initialize the initial weights for the model |
| learningRate | Controls the speed the model learns |
| List | Creates an instance of the NeuralNetConfiguration.ListBuilder class so that we can add layers |
| Layer | Creates a new layer |
| backprop | When set to true, it enables backpropagation |
| pretrain | When set to true, it will pretrain the ... |
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