DL Tutorial 6 — Pooling and Padding Techniques in CNNs
Learn how pooling and padding techniques are used in convolutional neural networks.
Table of Contents
1. Introduction
2. What is Pooling?
3. Types of Pooling
4. What is Padding?
5. Types of Padding
6. Benefits and Drawbacks of Pooling and Padding
7. Conclusion
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1. Introduction
In this tutorial, you will learn about pooling and padding techniques in convolutional neural networks (CNNs). CNNs are a type of deep learning model that can perform various tasks such as image classification, object detection, face recognition, and more. CNNs consist of multiple layers that process the input data and extract features that are relevant for the task. Two common types of layers in CNNs are convolutional layers and pooling layers.
Convolutional layers apply a set of filters to the input data and produce feature maps that capture the spatial information of…
