What are 1x1 Convolutions in Deep Learning?

You might have come across 1x1 convolution in deep learning architecture and wondered why they were there. In this tutorial, I'll walk you through their usefulness and how they compare to other dimensionality reduction techniques.

Table of Content
- Introduction: 0:00
- 1x1 in networks: 0:11
- Convolutions: 1:40
- How to reduce dimensionality: 2:48
- What is 1x1 convolution doing?: 4:25
- Pooling vs 1x1 convolution: 6:44
- Conclusion: 7:19


Here are some other resources that are very good on this topic:
📌 StackOverflow Question on the Subject: https://stats.stackexchange.com/quest...
📌 A Gentle Introduction to 1×1 Convolutions to Manage Model Complexity: https://machinelearningmastery.com/in...
📌 How are 1x1 convolutions the same as a fully connected layer? (Another StackOverflow Question): https://datascience.stackexchange.com...
📌 DeepLearningAI Video on the Subject:    • C4W2L05 Network In Network  
📌 A Gentle Introduction to Pooling Layers for Convolutional Neural Networks: https://machinelearningmastery.com/po...

Really great content, check it out! ☝️

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