Convolution layer

This is the main layer of feature extraction part of the convolution neural networks.

Convolution layer

They had a filter of shape (x,x), generally x=3 so shape of filter is (3,3).

Kernel

2	2	1
3	3	3
3	2	1

Image

2	3	5
3	3	3 (22)+(32)+(51)+(33)+(33)+(33)+(33)+(22)+(1*1)=56
3	2	1 Every pixel will change by 56 of image

Comments

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Deep Learning

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