A Machine Learning project that classifies handwritten digits from the MNIST dataset using Artificial Neural Networks (ANNs). The goal is to accurately identify digits (0-9) based on their pixel patterns.
- ANN model for digit classification
- 94%+ accuracy on the MNIST test set
