AvMariam/Mashtots_Dataset
CNN for classifying Armenian handwritten letters
A Jupyter Notebook project implementing a Convolutional Neural Network (CNN) to classify Armenian handwritten letters using the Mashtots dataset from Kaggle. The model achieves 95.79% training accuracy and 91% test accuracy.
A deep learning project implementing convolutional neural networks (CNNs) to classify handwritten Armenian alphabet c...
A Convolutional Neural Network (CNN) model for recognizing characters of the Armenian alphabet, achieving ~95% accura...
A Jupyter Notebook implementing a ResNet-based deep learning model for Armenian handwritten character recognition, tr...
A Jupyter Notebook project implementing a CNN for Armenian handwritten letter recognition using PyTorch. It classifie...
A machine learning project for recognizing handwritten Armenian alphabet characters using the Mashtots Dataset v2. It...
This project implements a deep learning system for detecting and recognizing handwritten Armenian characters using a ...