
LeNet
Convolutional neural network structure

Convolutional neural network structure
LeNet is a series of convolutional neural network architectures created by a research group at AT&T Bell Laboratories between 1988 and 1998, centered around Yann LeCun. They were designed for reading small grayscale images of handwritten digits and letters, and were used in ATMs for reading cheques. Convolutional neural networks are a kind of feed-forward neural network whose artificial neurons can respond to a part of the surrounding cells in the coverage range and perform well in large-scale image processing. LeNet-5 was one of the earliest convolutional neural networks and was historically important during the development of deep learning. In general, when LeNet is referred to without a number, it refers to the 1998 version, LeNet-5, which is the most well-known version.
Read on Wikipedia · Image Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J., CC BY-SA 4.0
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