How Convolutional Neural Networks Work

Overview

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Explore the inner workings of Convolutional Neural Networks in this 26-minute video lecture from the End-to-End Machine Learning School. Gain a gentle, guided tour of CNNs, uncovering the magic behind their functionality. Learn about basic concepts, filtering, pooling, normalization, fully connected layers, back propagation, hyper parameters, and the importance of order and spatial relationships. Discover how these powerful neural networks operate and process information, with accompanying slides and text available in a related blog post for further study.

Syllabus

Introduction
Basic ideas
Filtering
Pooling
Normalization
Fully Connected Layer
Back Propagation
Hyper Parameters
Order Matters
Spatial Matters
Conclusion

Taught by

Brandon Rohrer

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Dr S Tamil Selvan @tamil

very clear explanation and i will understand very well, It will help for further research work and writing research articles

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