November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Defining, training, and testing the model
Download both the training and testing datasets from http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset. Let's look at the steps to build the project after you have downloaded the dataset:
- Begin by transforming the images present in the dataset using histogram equalization. This is essential as each image in the dataset may have a different scale of illumination. You can see from the following two images how images of the same traffic sign have very different illumination. Histogram equalization helps to normalize these differences and makes the training data more consistent:
Once ...
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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.