A Convolutional Neural Network (CNN) implementation for handrwritten digit classification using the MNIST dataset, with visualization tools for model interpretation.
The project implements a CNN to classify handwritten digits from the MNIST dataset. It includes visualization tools to understand the model's learning process and thought process.