What are Pooling Layers in Deep Neural Networks?

You might be wondering, why we even need to do pooling in the first place for CNN. In this tutorial, we'll answer this question by exploring the three ways in which pooling is helpful for training deep vision models.

Table of Content
- Introduction: 0:00
- 3 reasons to use pooling layers: 0:29
- What is pooling: 0:50
- pooling for dimensionality reduction: 3:48
- pooling for translational invariance: 6:18
- pooling for specific architectural changes: 7:46
- Conclusion: 8:54

Here are other extra blogs and tutorials to help you study the pooling layers:
📌 https://machinelearningmastery.com/po...
📌 https://towardsai.net/p/l/introductio...
📌 https://www.kdnuggets.com/diving-into...
📌 Paper for the cool visualization: https://www.researchgate.net/publicat...

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