MNIST Digit Recognition

This repository contains code for training and evaluating a digit recognition model using the MNIST dataset.

Requirements

• Python 3.x
• TensorFlow 2.x
• NumPy
• Matplotlib

Installation

Clone the repository:

git clone https://github.com/oxyboron25/mnist-digit-recognition.git
cd mnist-digit-recognition

Install dependencies using pip:

pip install -r requirements.txt

Usage

Training the Model

To train the model, run:

python train.py

This will train the digit recognition model using the MNIST dataset.

Evaluating the Model

To evaluate the model on the test set, run:

python evaluate.py

This will evaluate the accuracy of the trained model on the MNIST test dataset.

Predicting Digit Images

To predict digits from custom images, use:

python predict.py path_to_image

Replace path_to_image with the path to the image file you want to predict.

Structure

• data/: Contains the MNIST dataset (automatically downloaded if not present).
• models/: Saved models after training.
• train.py: Script for training the digit recognition model.
• evaluate.py: Script for evaluating the model's accuracy.
• predict.py: Script for predicting digits from custom images.