Convolution Operation Visualizer

What is a Convolution Operation?

Convolution is the core operation in Convolutional Neural Networks (CNNs). A small filter (kernel) slides across an image, performing element-wise multiplication and summation to create a feature map that highlights specific patterns.

Key concepts:

• Filter/Kernel: A small matrix that detects specific features (edges, textures)
• Stride: How many pixels the filter moves at each step
• Feature Map: The output that shows where features were detected
• Edge Detection: Filters that highlight boundaries in images
• Pooling: Reduces size while keeping important features