October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Object Detection Using OpenCV and TensorFlow
Welcome to the second chapter focusing on computer vision in Python Deep Learning Projects (a data science pun to kick us off!). Let's think about what we accomplished in Chapter 8, Handwritten Digits Classification Using ConvNets, where we were able to train an image classifier with a convolutional neural network (CNN) to accurately classify handwritten digits in an image. What was a key characteristic of the raw data, and what was our business objective? The data was less complicated than it could have been because each image only had one handwritten digit in it and our goal was to accurately assign a digital label to the image.
What would have happened if each image had multiple handwritten ...
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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.