December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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Introduction to probability
In this section, we'll discuss some of the aspects of probability and statistics that are relevant to NNs.
Let's start by introducing the concept of a statistical experiment, which has the following properties:
- Consists of multiple independent trials.
- The outcome of each trial is non-deterministic; that is, it's determined by chance.
- It has more than one possible outcome. These outcomes are known as events (we'll also discuss events in the context of sets in the following section).
- All the possible outcomes of the experiment are known in advance.
One example of a statistical experiment is a coin toss, which has two possible outcomes—heads or tails. Another example is a dice throw with six possible outcomes: 1, ...
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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.