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A Convolutional Neural Network to predict handwriting ditgit form image by MNIST datasets

License: MIT License

Jupyter Notebook 100.00%
digit-recognition-mnist showcase convolutional-neural-network

digit-recognition's Introduction

MNIST Prediction

This is a dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images. More info can be found at the MNIST homepage.

MNIST

Requirements

  • Anaconda or Miniconda

Tech Stack

  • Python
  • Numpy for linear algebra
  • Matplotlib for Visualization
  • Keras for Datasets

Installation

git clone [email protected]:tiesen243/digit-recognition.git
cd digit-recognition
conda env create -f environment.yml
conda activate digit-recognition

Usage

open the jupyter notebook and run the cells

jupyter notebook

License

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

References

digit-recognition's People

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