Convolutional Neural Networks | What is a CNN? | CNN Explained

Convolutional Neural Networks

Unlocking the Power of Image Recognition!

What are CNNs?
Neural networks designed for analysing grid-like data, such as images.

How They Work
CNNs detect visual features like edges and shapes to recognize objects.

Convolution Layers
Apply filters to find patterns within images.

Pooling Layers
Simplify data, helping CNNs focus on essential features.

Fully Connected Layers
Combine features to make the final decision, like recognizing faces.

Applications
Used in facial recognition, self-driving cars, medical imaging, and more.

Why They Matter
CNNs make visual understanding possible in AI, crucial for many tasks.

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