Handwritten Digit Classification using MNIST dataset and TensorFlow
This repository contains a simple Python script that uses the TensorFlow library to classify handwritten digits using the MNIST dataset.
The script loads the data, normalizes it, creates a simple feedforward neural network with an input layer, a hidden layer, and an output layer, compiles the model with a loss function and optimizer, trains the model on the training data, and then evaluates the model on the test data.
Prerequisites:
You need to have TensorFlow and Numpy installed on your system.
To install:
pip install tensorflow
pip install numpy
Built With:
TensorFlow - The deep learning library used
Numpy - The numerical computation library
Credits
This program was created by BaraniVA. If you have any questions or suggestions, please contact me at [email protected].