https://github.com/oscarsaharoy/mnist-classifier

neural network to learn MNIST dataset
https://github.com/oscarsaharoy/mnist-classifier

ai deeplearning

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neural network to learn MNIST dataset

• Host: GitHub
• URL: https://github.com/oscarsaharoy/mnist-classifier
• Owner: OscarSaharoy
• Created: 2024-05-06T15:39:44.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-08T21:03:04.000Z (9 months ago)
• Last Synced: 2024-05-08T22:23:57.144Z (9 months ago)
• Topics: ai, deeplearning
• Language: Python
• Homepage:
• Size: 11.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This is a simple neural network that classifies the images in the MNIST dataset. It uses one hidden layer of 40 nodes and two sets of weights. Training over 11 epochs of a subset of the data it is able to reach 94% accuracy.

# running locally

make sure numpy is installed:

```

pip install numpy

```

run the training process and watch the output:

```

./network.py

```