Türkçe İşaret Dili _Makine Öğrenimi Bitirme Projesinin “Kod, Ter ve Gözyaşı” Hikayesi.bölüm1

📰 Medium · Data Science

Learn how to develop a machine learning project for Turkish Sign Language recognition, and understand the importance of data collection and preprocessing in such projects.

intermediate Published 19 Apr 2026

Action Steps

Collect and preprocess a dataset of Turkish Sign Language images or videos
Develop a machine learning model using convolutional neural networks (CNNs) or other suitable architectures
Train and test the model on the collected dataset
Evaluate the performance of the model using metrics such as accuracy, precision, and recall
Refine the model by adjusting hyperparameters and exploring different architectures

Who Needs to Know This

Data scientists and machine learning engineers working on computer vision projects can benefit from this article, as it provides insights into the development of a sign language recognition system.

Key Insight

💡 Data collection and preprocessing are crucial steps in developing a machine learning project for sign language recognition