From LeNet to AlexNet: How Deep Convolutional Networks Finally Took Over Computer Vision

After LeNet demonstrated that convolutional architectures could work, interest in neural networks for vision spiked—yet for almost two decades they remained a niche curiosity. The problem was not the concept but the constraints: tiny labeled corpora, weak accelerators, and training tricks that had not yet been invented. Support-vector machines, ...

Posted on Fri, 03 Jul 2026 16:35:35 +0000 by jamessw