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URL: https://github.com/topics/handwritten-characters

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handwritten-characters

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Building a CNN to Classify Handwritten Characters" is a proof-of-concept project using Python, TensorFlow, and Keras. It demonstrates how a Convolutional Neural Network (CNN) can identify scanned characters in the MNIST database. The goal is to convert historical documents into searchable databases, improving ancestry search services.

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