CNNs for Images: Convolution, Pooling and Transfer Learning

To a computer, an image is a grid of numbers. A normal dense network would treat every pixel separately and need millions of weights. Convolutional Neural Networks (CNNs) instead slide small filters across the image, spotting edges, then shapes, then whole objects, using the same few weights everywhere.

🎬 How a CNN sees a cat