thumb|321x321px|LeNet-5 architecture (overview)
thumb|321x321px|LeNet-5 architecture (overview)
LeNet is a series of convolutional neural network architectures created by a research group in AT&T Bell Laboratories during the 1988 to 1998 period, centered around Yann LeCun. They were designed for reading small grayscale images of handwritten digits and letters, and were used in ATM for reading cheques.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).