In this video, we will understand what is Padding in Convolutional Neural Network and why do we need padding in Convolutional Neural Network

Convolution Operation faces two problems:
1.) The size of the image gets reduced after performing Convolution operation
2.) Corner pixels of the input image doesn't get enough attention as the pixels around the center

Thus, to overcome these issues, we use padding in convolutional neural network

In the video, we will understand what is "VALID" Convolution and what is "SAME" Convolution. And we will also discuss the dimensions of the image after applying padding.



Timestamp:
0:00 Intro
0:11 The Problem with convolution operation
1:15 Padding in Convolutional Neural Network
2:05 Types of Padding
3:42 End



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