https://github.com/josiah-mbao/intelligent-digit-recognition-system

Digit Recognition with Keras - Train a model to recognize handwritten digits from MNIST dataset.
https://github.com/josiah-mbao/intelligent-digit-recognition-system

artificial-neural-networks keras machine-learning-algorithms

Last synced: 6 days ago
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Digit Recognition with Keras - Train a model to recognize handwritten digits from MNIST dataset.

• Host: GitHub
• URL: https://github.com/josiah-mbao/intelligent-digit-recognition-system
• Owner: josiah-mbao
• Created: 2023-10-25T00:59:12.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-23T21:07:20.000Z (about 1 year ago)
• Last Synced: 2023-11-23T22:22:06.448Z (about 1 year ago)
• Topics: artificial-neural-networks, keras, machine-learning-algorithms
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This is my project for my APT3010 class: A Digital Recognition System. I used python for this project and worked with libraries such as pandas and keras.

The project makes use of artificial neural networks.

Josiah Mbao - 667823

- Python

- Keras library

- Pandas library

I got the dataset of 60,000 images from the MNIST Database.

https://www.tensorflow.org/datasets/catalog/mnist

Use this link if dealing with issues downloading the files:

https://pjreddie.com/projects/mnist-in-csv/

Inspiration:

https://keras.io/guides/sequential_model/

The dataset csv files were too large to upload on github but here is a link to the dataset:

https://www.kaggle.com/datasets/hojjatk/mnist-dataset