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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Probability calculation
We are interested in calculating the probabilities associated with a stochastic process (Xn). Let's spend a few minutes talking about the basic concepts of probability. If you are already familiar with these concepts, you may want to skip this section; otherwise, it will be in your interest to deepen the basic knowledge needed to understand how probabilities are calculated.
The a priori probability that a given event (E) occurs is the ratio between the number (s) of favorable cases of the event itself and the total number (n) of the possible cases, provided all considered cases are equally probable. This can be summarized in the following formula:
Let's look at a simple example.
What is the probability that a thrown ...
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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.