convolution
2 free lessons tagged convolution across Math, AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Convolution and Filters: Shaping a Signal
A filter is fully described by what it does to a single impulse, and applying it is a convolution. This lesson builds that idea, shows why the frequency domain turns convolution into plain multiplication, and works through the trade-offs that make real filters ring, lag, or cost more than they need to.
Convolutional Neural Networks
Understand why fully-connected layers fail at image scale, then build up the CNN toolkit: convolutions, kernels, stride, padding, feature maps, pooling, and parameter sharing. Finish with the ResNet residual connection idea that unlocked networks of 100+ layers.