November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Reinforcement learning
Reinforcement learning is a type of machine learning in which an agent learns from the environment. The agent takes actions and, as a result of the actions, the environment returns observations and rewards. From the observation and rewards, the agent learns the policy and takes further actions, thus continuing the sequence of actions, observations, and rewards. In the long run, the agent has to learn the policy such that, when it takes actions based on the policy, it does so in such a way as to maximize the long-term rewards.
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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.