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Mastering Apache Spark by Mike Frampton

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Deep learning

Neural networks were introduced in Chapter 2, Apache Spark MLlib. This chapter builds upon this understanding by introducing deep learning, which uses deep neural networks. These are neural networks that are feature-rich, and contain extra hidden layers, so that their ability to extract data features is increased. These networks are generally feed-forward networks, where the feature characteristics are inputs to the input layer neurons. These neurons then fire and spread the activation through the hidden layer neurons to an output layer, which should present the feature label values. Errors in the output are then propagated back through the network (at least in back propagation), adjusting the neuron connection weight matrices so ...

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