# ayushoriginal/HandWritingRecognition-CNN

<https://repo.masters-masters.com/en/repos/ayushoriginal/HandWritingRecognition-CNN>

[Home](https://repo.masters-masters.com/en) › [ayushoriginal](https://repo.masters-masters.com/en/owners/ayushoriginal) › [HandWritingRecognition-CNN](https://repo.masters-masters.com/en/repos/ayushoriginal/HandWritingRecognition-CNN)

ayushoriginal/HandWritingRecognition-CNN has 132 stars on GitHub. Its RepoMasters card: Prototype tier. This CNN-based model for recognition of hand written…

| Field | Value |
| --- | --- |
| Owner | [ayushoriginal](https://repo.masters-masters.com/en/owners/ayushoriginal) |
| Stars | 132 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ayushoriginal/HandWritingRecognition-CNN](https://github.com/ayushoriginal/HandWritingRecognition-CNN) |

## Repository

This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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