March 2018
Intermediate to advanced
320 pages
7h 53m
English
book
TensorFlow Deep Learning Projects
by Alexey Grigorev, Srinivas Kulkarni, Rajalingappaa Shanmugamani
Content preview from TensorFlow Deep Learning Projects
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Lunar Lander in OpenAI Gym
LunarLander-v2 is a scenario developed by Oleg Klimov, an engineer at OpenAI, inspired by the original Atari Lunar Lander (https://github.com/olegklimov). In the implementation, you have to take your landing pod to a lunar pad that is always located at coordinates x=0 and y=0. In addition, your actual x and y position is known since their values are stored in the first two elements of the state vector, the vector that contains all the information for the reinforcement learning algorithm to decide the best action to take at a certain moment.
This renders the task accessible because you won't have to deal with fuzzy or uncertain localization of your position with respect to the objective (a common problem in robotics). ...
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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.
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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.