November 2019
Intermediate to advanced
304 pages
8h 40m
English
Content preview from Java Deep Learning Cookbook
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How it works...
We need to create an API to take the inputs from end users and generate the output. The end user will upload a CSV file with the inputs, and API returns the prediction output back to the user.
In step 1, we added schema for the input data. User input should follow the schema structure in which we trained the model except that the Exited label is not added because that is the expected task for the trained model. In step 2, we have created TransformProcess from Schema that was created in step 1.
In step 3, we used TransformProcess from step 2 to create a record reader instance. This is to load the data from the dataset.
We expect the end users to upload batches of inputs to generate outcomes. So, an iterator needs to be created ...
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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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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.