November 2019
Intermediate to advanced
304 pages
8h 40m
English
Content preview from Java Deep Learning Cookbook
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Technical requirements
Implementation of the use case discussed in this chapter can be found here: https://github.com/PacktPublishing/Java-Deep-Learning-Cookbook/tree/master/04_Building_Convolutional_Neural_Networks/sourceCode.
After cloning our GitHub repository, navigate to the following directory: Java-Deep-Learning-Cookbook/04_Building_Convolutional_Neural_Networks/sourceCode. Then, import the cookbookapp project as a Maven project by importing pom.xml.
You will also find a basic Spring project, spring-dl4j, which can be imported as a Maven project as well.
We will be using the dog breeds classification dataset from Oxford for this chapter.
The principal dataset can be downloaded from the following link: https://www.kaggle.com/zippyz/cats-and-dogs-breeds-classification-oxford-dataset ...
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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.