April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Basic project architecture
Let's start by understanding the project's architecture.
The project we'll be building in this chapter is mainly divided into two parts:
- The Jupyter Notebook, which creates the model that performs super-resolution.
- The Flutter app that uses the model, which, after being trained on the Jupyter Notebook, is hosted on a Droplet in DigitalOcean.
From a bird's-eye view, the project can be described with the following diagram:
The low-resolution image is put into the model, which is fetched from the ML Kit instance hosted on Firebase and put into the Flutter app. The output is generated and displayed to the user as ...
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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.