Object Detection Using Deep Learning
- Enhanced deep learning models by optimizing neural network architectures and implementing regularization techniques.
- Developed custom deep learning algorithms for improved object detection and classification in real-world applications.
- Reduced training time and increased model efficiency with parallel processing and GPU acceleration techniques.
- Collaborated with cross-functional teams to develop end-to-end pipelines for data ingestion, preprocessing, modeling, and deployment.