shahin-ro/Alphabet-Recognition
Python script for Persian alphabet recognition using two neural networks. Model 1: dense layers (2048 to 64 units, ReLU, softmax) for 43 classes. Model 2: CNN with Conv2D, BatchNorm, MaxPooling, Dropout. Both trained for 20 epochs, evaluated with ROC/AUC, and visualized. Real-world images classified and compared.
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Aug 18, 2025
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