Armenian_characters_classification
SammSM/Armenian_characters_classification
A deep learning project using CNN to recognize and classify handwritten Armenian alphabet characters.
handwriting-recognitioncharacter-classificationconvolutional-neural-networksimage-processingarmenian-languagedeep-learningcomputer-visionjupyter-notebook
Summary
A deep learning project implementing convolutional neural networks (CNNs) to classify handwritten Armenian alphabet characters. The repository contains two Jupyter Notebook implementations: one with data augmentation and one without, both trained on a Kaggle dataset of 78 uppercase and lowercase Armenian letters. The project demonstrates image preprocessing, CNN architecture with dropout and batch normalization, model evaluation, and prediction on test images.