August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Building your first TensorFlow model
Without further ado, let's get stuck in with building your first ML model in TensorFlow.
The problem we will tackle in this chapter is that of correctly identifying the species of Iris flower from four given feature values. This is a classic ML problem that is extremely easy to solve, but will provide us with a nice way to introduce the basics of constructing graphs, feeding data, and training an ML model in TensorFlow.
The Iris dataset is made up of 150 data points, and each data point has four corresponding features: length, petal width, sepal length, and sepal width, along with the target label. Our task is to build a model that can infer the target label of any iris given only these four features. ...
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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.