October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Quick implementation of object detection
Object detection saw an increase in adoption as a result of the industry trend towards deep learning after 2012. Accurate and increasingly fast models such as R-CNN, Fast-RCNN, Faster-RCNN, and RetinaNet, and fast yet highly accurate ones like SSD and YOLO are in production today. In this section, we will use fully-functional pre-baked feature extractors in a Python library that can be used in just a few lines of code. Also, we will touch base regarding the production-grade setup for the same.
So, let's do it.
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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.