This directory aims to implement the LeNet architecture for a Convolutional Neural Network (CNN) used for character recognition, trained and tested with the MNIST dataset.
Available implementations:
Our implementation is based on the following paper:
- Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.
The paper is available via:
See also:
- LeNet on Wikipedia