EXEMPLE-DE-CNN(lenet5)

LeNet was introduced in the research paper “Gradient-Based Learning Applied To Document Recognition” in the year 1998 by Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner. Many of the listed authors of the paper have gone on to provide several significant academic contributions to the field of deep learning. #LeNet-5 LeNet-5 CNN architecture is made up of 7 layers. The layer composition consists of 3 convolutional layers, 2 subsampling layers and 2 fully connected layers. https://miro.medium.com/max/1731/1*y68ztClLF6ae7P53ayyFzQ.png