Tutorial-49:How does convolution operation work in CNN's? | Deep Learning

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TIME STAMPS:
0:00 - Introduction
01:13 - Basics of images
10:10 - Edge detection
29:01 - Types of filters
33:15 - Working with RGB images
35:25 - Applying multiple filters

The convolution operation is the heart of every Convolutional Neural Network (CNN).
In this video, we break down convolution in the simplest way possible using visual examples, kernel matrices, and step-by-step animations so you finally understand how CNNs see images.

Whether you're a beginner in deep learning or preparing for interviews, this video will give you a strong foundation in convolution operations.

📌 What You Will Learn
1.What is convolution?
2.How filters (kernels) slide across an image
3.How feature maps are generated
4.Edge detection using convolution
5.Why CNNs use learned filters

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