October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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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.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.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.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.
Alexnet
After some more years of hiatus (even though Lecun was applying his networks to other tasks, such as face and object recognition), the exponential growth of both available structured data and raw processing power allowed the teams to grow and tune the models to an extent that could have been considered impossible just a few years before.
One of the elements that fostered innovation in the field was the availability of an image recognition benchmark called Imagenet, consisting of millions of images of objects organized into categories.
Starting in 2012, the Large Scale Visual Recognition Challenge (LSVRC) ran every year and helped researchers to innovate in network configurations, obtaining better and better results every year.
Alexnet ...
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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.