2024-2 '딥러닝기반데이터분석' 강의 과제 2: CNN Fine-Tuning | EfficientNet-B3를 파인튜닝하여 Chest X-Ray로 폐렴과 코로나를 분류하는 Project 진행 | 백엔드: FastAPI, 프론트엔드: Streamlit
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Updated
Oct 31, 2024 - Python
2024-2 '딥러닝기반데이터분석' 강의 과제 2: CNN Fine-Tuning | EfficientNet-B3를 파인튜닝하여 Chest X-Ray로 폐렴과 코로나를 분류하는 Project 진행 | 백엔드: FastAPI, 프론트엔드: Streamlit
Skin diseases can be detected and classified through Deep Learning techniques. In this project Deep CNN network is built on top of EfficientNetB3 for image classification.
the advancement of Alzheimer's illness utilizing Convolution Neural Systems (CNN) and EfficientNetB3 architecture, which was applied to pre-processed MRI datasets. The purpose of the project is to use efficient high-performance computing (HPC) to improve the performance of the model, which makes the diagnostic process more efficient and reliable th
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