https://github.com/oscarsaharoy/mnist-classifier
neural network to learn MNIST dataset
https://github.com/oscarsaharoy/mnist-classifier
ai deeplearning
Last synced: 4 months ago
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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 (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-14T21:29:28.000Z (about 1 year ago)
- Last Synced: 2025-01-19T21:56:46.554Z (6 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
```