Week 8 Part III · Architectures & Representation Learning
Convolution, pooling, and feature maps; building a CNN image classifier.
Curated, free, canonical references for this week: a course or lecture, a book chapter, a video, and an authoritative blog post or official tutorial. Each opens in a new tab.
The canonical CNN course, from convolution and pooling through full image-classifier architectures.
Free PyTorch chapter on convolutions, pooling, receptive fields, and building LeNet.
Focused lecture introducing convolution, filters/feature maps, and pooling.
Authoritative notes on conv layers, stride/padding, pooling, and activation maps with formulas.