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Apache Spark Deep Learning Cookbook
book

Apache Spark Deep Learning Cookbook

by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
July 2018
Intermediate to advanced
474 pages
13h 37m
English
Packt Publishing
Content preview from Apache Spark Deep Learning Cookbook

How it works...

This section explains the configuration of the Keras model that is applied to the dataset to predict a rating based on the features selected.

  1. In Keras, a Sequential model is simply a linear combination of layers, which are the following: Dense is used to define the layer types to a fully-connected layer within a deep neural network. Finally, Activation is used to convert the inputs from the features into an output that can be used as a prediction. There are many types of activation functions that can be used in a neural network; however, for this chapter, we will go with relu and softmax.

 

  1. The Sequential model is configured to include three Dense layers:
    1. The first layer has input_dim set to the number of features from ...
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Publisher Resources

ISBN: 9781788474221