Building a Convolutional Neural Networks (CNN) with TensorFlow to Classify Handwritten Characters

A proof-of-concept project for converting scanned historical documents into searchable databases using CNNs.

Scenario

A company providing ancestry search services needs to process handwritten documents. This project demonstrates how a CNN can identify scanned characters in the MNIST database with 60,000 training samples and 10,000 test samples.

Tools and Technologies:

• Python
• TensorFlow
• Keras
• Jupyter Notebook
• Machine Learning
• Image Recognition
• Data Science

Here's the link to the NIST Special Database 19, which contains a large collection of handwritten characters:

NIST Special Database 19

You can visit the provided link to access the dataset and find more information about it on the NIST website.

Project Completion:

Feel free to check out the complete project on my GitHub repository!

Link: GitHub Repository

Contributions:

Contributions to this project are welcome! If you have any suggestions, improvements, or bug fixes, please submit a pull request. Let's collaborate and make this project even better together!