GitHub / OmerEfeKaymaz / Handwritten-Digit-Recognition-and-Testing-with-Image-Processing

This project trains a deep learning model to recognize handwritten digits. Using the load_digits dataset from sklearn, moments and pixel data extracted from each image are combined. These data are used to train and test a neural network model built with TensorFlow. The model achieves a successful result with an accuracy of over 90%.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OmerEfeKaymaz%2FHandwritten-Digit-Recognition-and-Testing-with-Image-Processing

Topics: analysis-algorithms, image-processing

• Files
• Readme
• Dependencies