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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Datasets
In this section, we will discuss the most important and famous recent datasets used in image classification. This is necessary, because it is likely that any perusal into Computer Vision will overlap with them (including in this book!). Before the arrival of convolutional neural networks, the two main datasets used in image classification competitions by the research community were the Caltech and PASCAL datasets.
The Caltech dataset was established by California Institute of Technology and was released in two versions. Caltech-101 was published in 2003 with 101 categories of about 40 to 800 images per category, and Caltech-256 in 2007 with 256 object categories, containing a total of 30607 images. The images were collected from ...
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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.