This visualization shows a full CNN layer: Convolution, ReLU activation, and Max Pooling. Use the settings to adjust parameters and see how each stage is affected.
Kernel Calculation: Idle
Conv Output = floor((I-K+2P)/S)+1
Pool Output = floor((I-F)/S)+1