https://github.com/dnglokpor/csci-392-lab-1
Class Project: small image classification AI application built using python Tensorflow-Keras and Numpy arrays. The goal is to train NNs to recognize the handwritings of the MNIST dataset. This project involves setting up a 100 different NNs (from a JSON configuration file) to see which configuration gives the best validation after training under the same conditions.
https://github.com/dnglokpor/csci-392-lab-1
ai json-parser keras-tensorflow mnist-classification numpy-arrays python3
Last synced: 4 months ago
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Class Project: small image classification AI application built using python Tensorflow-Keras and Numpy arrays. The goal is to train NNs to recognize the handwritings of the MNIST dataset. This project involves setting up a 100 different NNs (from a JSON configuration file) to see which configuration gives the best validation after training under the same conditions.
- Host: GitHub
- URL: https://github.com/dnglokpor/csci-392-lab-1
- Owner: dnglokpor
- Created: 2020-07-01T04:09:54.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-07-02T04:41:37.000Z (almost 5 years ago)
- Last Synced: 2025-01-03T15:45:11.438Z (6 months ago)
- Topics: ai, json-parser, keras-tensorflow, mnist-classification, numpy-arrays, python3
- Language: Python
- Homepage:
- Size: 1.55 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CSCI-392-lab-1
For hosting files of the CNN research project for AI and Deep Learning class Summer 2020.