Convolutional Network Demo from 1993

Великое пробуждение искусственного интеллекта Демонстрация с показа ранней версии свёрточной нейронной сети Яна Лекуна в 1993 году. К концу девяностых она обрабатывала 10–20% всех чеков в США. Большинство современных систем распознавания изображения работают на похожей технологии. __ This is a demo of “LeNet 1“, the first convolutional network that could recognize handwritten digits with good speed and accuracy. It was developed between 1988 and 1993 in the Adaptive System Research Department, headed by Larry Jackel, at Bell Labs in Holmdel, NJ. This “real time“ demo shows ran on a DSP card sitting in a 486 PC with a video camera and frame grabber card. The DSP card had an AT&T DSP32C chip, which was the first 32-bit floating-point DSP and could reach an amazing 12.5 million multiply-accumulate operations per second. The network was trained using the SN environment (a Lisp-based neural net simulator, the predecessor of Lush, itself a kind of ancestor to Torch7). We w