My Study Notes on Convolutional Neural Networks (CNN)

This beginner-friendly study note explains how Convolutional Neural Networks (CNNs) work for image recognition tasks such as text, music note, and obstacle detection. It covers core concepts including convolution (applying filters to highlight features), padding (preserving edge data), stride (filter step size), and pooling (downsampling to reduce noise while retaining key features).