October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Getting started with convolution
In order to understand convolution, we will start by studying the origin of the convolution operator, and then we will explain how this concept is applied to the information.
Convolution is basically an operation between two functions, continuous or discrete, and in practice, it has the effect of filtering one of them by another.
It has many uses across diverse fields, especially in digital signal processing, where it is the preferred tool for shaping and filtering audio, and images, and it is even used in probabilistic theory, where it represents the sum of two independent random variables.
And what do these filtering capabilities have to do with machine learning? The answer is that with filters, we will ...
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