May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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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.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.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.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.
Section 4: Production and Deployment Challenges
The crucial feature of C++ is the ability of the program to be compiled and run on a variety of hardware platforms. You can train your complex machine learning model on the fastest GPU in the data center, and deploy it to tiny mobile devices with limited resources. This chapter will show you how to use the C++ APIs of the TensorFlow and Caffe2 libraries to build programs that use machine learning models for Android devices and in the cloud.
This section comprises the following chapters:
- Chapter 12, Exporting and Importing Models
- Chapter 13, Deploying Models on Mobile and Cloud Platforms
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