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tiesen243 / digit-recognition

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

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digit-recognition-mnistshowcaseconvolutional-neural-network

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 git@github.com: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

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

digit-recognition-mnistshowcaseconvolutional-neural-network

License:MIT License

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Language:Jupyter Notebook 100.0%