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This is a PyTorch implementation of the paper "An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition".

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Mi-Model

This repository contains a PyTorch implementation of the paper "An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition" Paper Link.

Dependencies

All needed packages are in requirements.txt file.

pip install -r requirements.txt

Hyper Parameters

All needed Hyper parameters are defined in config.py file.

Training

To start training use

pyton train.py

it will create the model in output_models/ directory.

TODO

Add ema of weights for evaluation.

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This is a PyTorch implementation of the paper "An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit Recognition".

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