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Recognizing Handwritten Arabic Characters Using a Convolution #NeuralNetwork, Deeplearning4j Library | #Java #JVM

Interesting post from Taha Emara using Java Dev Kit 8, Netbeans, and his own GitHub repo for recognizing handwritten Arabic characters to implement a convolutional neural network whose original abstract was proposed in this paper.

Due to the variety of human handwritten styles, the handwritten character recognition system faces some challenges. The authors of the paper (Arabic Handwritten Characters Recognition using Convolutional Neural Network) I built my work on it, introduce a suggested model for the handwritten Arabic character recognition problem using Convolution Neural Network (CNN). They trained their network on a dataset contains 16800 examples of hand written Arabic characters and it gave them an accuracy of 94.9% on testing data.

Read more.


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