November 2019
Intermediate to advanced
304 pages
8h 40m
English
Content preview from Java Deep Learning Cookbook
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How it works...
In step 1 and step 2, we have persisted the model to reuse the model capabilities in API.
In step 3, an API method is created to accept user inputs and return the results from the image classifier.
In step 4, the URI mappings will accept client requests (GET/POST). A GET request will serve the home page at the very beginning. A POST request will serve the end user request for image classification.
In step 5, we added an API dependency to the pom.xml file. For demonstration purposes, we build the API JAR file and the JAR file is stored in the local Maven repository. For production, you need to submit your API (JAR file) in a private repository so that Maven can fetch it from there.
In step 6, we are calling the ImageClassifier ...
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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.
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