MNIST Project

This project uses a deep learning model to recognize digits from the MNIST dataset.

Project Structure

1. data_preprocessing.py: Data preprocessing.
2. model.py: Model definition.
3. train.py: Model training.
4. predict.py: Using the trained model for predictions.
5. config.py: Configuration parameters.
6. utils.py: Utilities (e.g., for visualization).

Installation

To get started, install all dependencies:

pip install -r requirements.txt