LeNet-5 with MNIST using TensorFlow and Keras

The LeNet-5 model is a classic CNN architecture that has proven effective for handwritten digit recognition. This repository contains implementation of the LeNet-5 architecture for the MNIST dataset using TensorFlow and Keras.

Prerequisites

Make sure you have these libraries installed:

pip install tensorflow matplotlib scikit-learn seaborn

References

LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11), 2278-2324.