Artificial Intelligence · Deep Learning
A topic within Deep Learning, itself one of 14 topics in that field and part of Artificial Intelligence.
2 works
Grant Sanderson (3Blue1Brown)
Builds up the convolution operation visually from probability and moving averages through to image kernels, making the operation underneath every convolutional layer concrete before any network is discussed.
23 minuteslink checked 17 Sept 2026LeCun, Bottou, Bengio & Haffner
Introduces the convolutional neural network (LeNet-5) and argues that learning the feature extractor end to end from pixels, with weight sharing and pooling built into the architecture, beats hand-designed feature pipelines on document recognition.
46 pageslink checked 17 Sept 2026