https://github.com/geekquad/handwritten-digit-mlp-classification

Using Multi Layer Perceptron to build the model. Classifies the handwritten digits of the MNIST database with around 98% accuracy.
https://github.com/geekquad/handwritten-digit-mlp-classification

handwritten-digits mnist-database pytorch

Last synced: 3 months ago
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Using Multi Layer Perceptron to build the model. Classifies the handwritten digits of the MNIST database with around 98% accuracy.

• Host: GitHub
• URL: https://github.com/geekquad/handwritten-digit-mlp-classification
• Owner: geekquad
• Created: 2020-05-15T15:01:35.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-16T19:06:46.000Z (over 5 years ago)
• Last Synced: 2025-02-24T16:16:56.274Z (8 months ago)
• Topics: handwritten-digits, mnist-database, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 343 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Handwritten-Digit-MLP-Classification

 Using the MNIST database. It is a collection of 70000 handwritten digits split into training and test set of 60000 and 10000 images respectively. 

 The model is built using Multi Layer Perceptron (MLP).