July 2019
Intermediate to advanced
512 pages
19h 39m
English
Let's begin with the forward propagation. We have already seen how forward propagation works and how a CNN classifies the given input image. Let's frame this mathematically. Let's consider an input matrix, X, and filter, W, with values shown as follows:

First, let's familiarize ourselves with the notations. Whenever we write
, it implies the element in the
row and the column of the input matrix. The same applies to the filter ...
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