CNN – Filters
Syllabus:
- What Is A Filter In CNN?
- Key Characteristics of Filters.
- How Filters Work?
- Examples Of Filter
(1) What Is A Filter In CNN?
- A filter (also called a kernel) in a Convolutional Neural Network (CNN) is a small matrix of weights used to extract specific features from the input image or feature map during the convolution operation.
- Filters are essential building blocks in CNNs as they enable the network to detect patterns like edges, textures, or other spatial features in an image.
(2) Key Characteristics Of Filters
(3) How Filters Works
(4) Examples Of Filters
https://deeplizard.com/resource/pavq7noze2(1) Top Edge Filter
(2) Bottom Edge Filter
(3) Left Edge Filter
(4) Right Edge Filter
