/handwritten-digit-recognition

Recognizes handwritten digits using neural networks and logistic regression

Primary LanguageMATLABMIT LicenseMIT

Handwritten Digit Recognizer

This project identifies the digit present in an image of any handwritten digit using a one-layer Neural Network

It is a very-basic digit recognizer. It uses the MNIST database to train and test the model. Made as a part of solution to an assignment in Machine Learning course at Coursera by Prof. Andrew Ng.

Getting Started

  1. Make sure your machine has the required prequisite softwares and tools.
  2. Just clone the repository and run the main file i.e. main.m.

Prerequisites

  • GNU Octave - Check out the official website to install. (Even MATLAB would do the work)

Author

  • Vamsi Krishna Reddy Satti - vamsi3

License

This project is licensed under the MIT License - see the LICENSE file for details