https://github.com/anuraganalog/recognize-hand-written-digits

Machine Learning and Neural Network techniques to recognize handwritten digits with high accuracy
https://github.com/anuraganalog/recognize-hand-written-digits

accuracy dataset epochs handwritten-digits minist neural-networks optimization pytorch recognition testing training

Last synced: 2 months ago
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Machine Learning and Neural Network techniques to recognize handwritten digits with high accuracy

• Host: GitHub
• URL: https://github.com/anuraganalog/recognize-hand-written-digits
• Owner: AnuragAnalog
• License: gpl-3.0
• Created: 2020-02-03T12:50:37.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-29T13:11:35.000Z (over 5 years ago)
• Last Synced: 2025-03-12T17:17:49.851Z (7 months ago)
• Topics: accuracy, dataset, epochs, handwritten-digits, minist, neural-networks, optimization, pytorch, recognition, testing, training
• Language: Jupyter Notebook
• Homepage:
• Size: 22.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Recognize-Hand-Written-Digits-using-Neural-Networks

## Frameworks

* **TensorFlow**

* **PyTorch**

## Techniques Used

* Linear Regression

* Logistic Regression

* Descision Trees

* Random Forest

* Gradient Boosting

* Fully connected layers

* Convolution layers