January 2019
Intermediate to advanced
386 pages
11h 13m
English
book
Python Deep Learning - Second Edition
by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Content preview from Python Deep Learning - Second Edition
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Driving policy with ChauffeurNet
In this section, we'll discuss a recent paper called ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst (https://arxiv.org/abs/1812.03079). It was released in December 2018 by Waymo, one of the leaders in the AV space. The following are some of the properties of the ChauffeurNet model:
- It is a combination of two interconnected networks. The first is a CNN called FeatureNet, which extracts features from the environment. These features are fed as inputs to a second, recurrent network called AgentRNN, which them to determine the driving policy.
- It uses imitation supervised learning similarly to the algorithms we described in the Imitation driving policy section. The training set ...
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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.