July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Deeplearning4j architecture
In this section, we will discuss its architecture and address several of the common tasks performed when using the API. DLN typically starts with the creation of a MultiLayerConfiguration instance, which defines the network, or model. The network is composed of multiple layers. Hyperparameters are used to configure the network and are variables that affect such things as learning speed, activation functions to use for a layer, and how weights are to be initialized.
As with neural networks, the basic DLN process consists of:
- Acquiring and manipulating data
- Configuring and building a model
- Training the model
- Testing the model
We will investigate each of these tasks in the next sections.
The code examples in this ...