Applying deep neural networks for skin cancer detection
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Updated
Sep 22, 2022 - Jupyter Notebook
Applying deep neural networks for skin cancer detection
AI Track's Exercise to create a basic CNN to recognize different animals from the Chinese Zodiac
Built a real-time mask detection system using Python and deep learning. Utilized pre-trained models for face detection and mask prediction on live webcam video. Employed OpenCV for precise real-time processing, identifying masked individuals in frames.
A MobileNetV2-based CNN classification model trained on the UTKFace dataset to predict a person's age range from facial images. It uses transfer learning, global average pooling, and softmax activation to output one of nine predefined age groups (0–9, 10–19, ..., 80–89).
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