November 2019
Intermediate to advanced
304 pages
8h 40m
English
Content preview from Java Deep Learning Cookbook
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Building Deep Neural Networks for Binary Classification
In this chapter, we are going to develop a Deep Neural Network (DNN) using the standard feedforward network architecture. We will add components and changes to the application while we progress through the recipes. Make sure to revisit Chapter 1, Introduction to Deep Learning in Java, and Chapter 2, Data Extraction, Transformation, and Loading, if you have not already done so. This is to ensure better understanding of the recipes in this chapter.
We will take an example of a customer retention prediction for the demonstration of the standard feedforward network. This is a crucial real-world problem that every business wants to solve. Businesses would like to invest more in happy customers, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.