September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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Solving the knapsack problem using Dynamic Programming
We introduced DP in the previous sections. Now the time has come to tackle a practical case. We will do this by analyzing a classic problem that has been studied for more than a century since 1897: the knapsack problem. The first to deal with it was the mathematician Tobias Dantzig, who based the name on the common problem of packing the most useful items in a knapsack without overloading it.
A problem of this type can be associated with different situations arising from real life. To better characterize the problem, we will propose another, rather unique problem. A thief goes into a house and wants to steal valuables. They put them in their knapsack, but they are limited by the weight. ...
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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.