How Convolution Works

Explore the inner workings of convolution in two dimensions for convolutional neural networks and image processing in this 20-minute guided tour. Learn about element-by-element operations, feature detection, replicator kernels, and various types of kernels including blurring and feature detector kernels. Gain practical tips and tricks for implementing convolution effectively. Delve into the mathematical foundations and practical applications of this crucial technique in computer vision and deep learning. Enhance your understanding of how convolution contributes to image processing tasks and the functionality of convolutional neural networks.

Intro
Convolution
Element by Element
Feature Detection
Replicator
Kernels
Tips Tricks
Blurring Kernel
Feature Detector Kernel
Questions