Lenet

LeNet is a pioneering convolutional neural network (CNN) architecture developed by Yann LeCun and his colleagues in 1989. It was designed primarily for handwriting recognition and digit recognition tasks. LeNet marked a significant advancement in the field of deep learning by demonstrating the effectiveness of CNNs in practical applications.