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MNIST Handwriting Recognition with Neural Network

This Python program demonstrates the use of a neural network for recognizing handwritten digits from the MNIST dataset. The program utilizes the TensorFlow library to create, train, and evaluate a simple neural network model.

Prerequisites

Make sure you meet the following prerequisites:

  • Python (Version 3.x)
  • TensorFlow (Installation instructions below)
  • Visual Studio Code or another Python editor

Installing TensorFlow

Install TensorFlow using the following command: "pip install tensorflow"

Usage

Clone this repository to your local machine. Open the project in Visual Studio Code or another Python editor. Ensure your Python environment has the necessary dependencies. Run the mnist_handwriting_recognition.py script to create, train, and make predictions with the neural network.

License

This project is licensed under the MIT License. For more information, refer to the License File.

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