November 2019
Intermediate to advanced
304 pages
8h 40m
English
Content preview from Java Deep Learning Cookbook
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What this book covers
Chapter 1, Introduction to Deep Learning in Java, provides a brief introduction to deep learning using DL4J.
Chapter 2, Data Extraction, Transformation, and Loading, discusses the ETL process for handling data for neural networks with the help of examples.
Chapter 3, Building Deep Neural Networks for Binary Classification, demonstrates how to develop a deep neural network in DL4J in order to solve binary classification problems.
Chapter 4, Building Convolutional Neural Networks, explains how to develop a convolutional neural network in DL4J in order to solve image classification problems.
Chapter 5, Implementing Natural Language Processing, discusses how to develop NLP applications using DL4J.
Chapter 6, Constructing ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.