March 2019
Intermediate to advanced
196 pages
4h 50m
English
Content preview from TensorFlow 2.0 Quick Start Guide
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Recognizing Images with TensorFlow 2
This chapter is in two sections, but we will be learning about image classification using TensorFlow in both.
In this chapter, we will cover the following main topics:
- Quick Draw – image classification using TensorFlow
- CIFAR 10 image classification using TensorFlow
In the first section, we will develop a TensorFlow 2 model for image recognition using the technologies we learned about in the previous chapters—in particular, Chapter 2, Keras, a High-Level API for TensorFlow 2. This will allow us to see how all of the relevant techniques are brought together to create, train, and evaluate a complete model using TensorFlow 2. We will make use of the Quick Draw! image dataset from Google to help with this. ...
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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.