November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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4: Digit Classification Using TensorFlow Lite
There has been a lot of progress in the field of machine learning (ML) in the last five years. These days, a variety of ML applications are being used in our daily lives and we don't realize it. Since ML has taken the spotlight, it would be helpful if we could use it to run deep models on mobile devices, which is one of the most used devices in our daily life.
Innovation in mobile hardware, coupled with new software frameworks for deploying ML models on mobile devices, is proving to be one of the major accelerators for developing ML based applications on mobile or other edge devices like tablet..
In this chapter, we will learn about Google's new library, TensorFlow Lite, which can be used to deploy ...
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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.