Skin-Cancer-Detector

Architected a Convolutional Neural Network to detect & classify seven different types of skin cancer

Trained on 22000 images using Python & Keras API

Achieved a 97.1% accuracy rate in detecting melanoma and a 93.3% accuracy rate in detecting non-melanoma skin cancers

Uses:

• Deep Learning
• Convolutional Neural Network
• Artificial Intelligence
• Python
• Keras API
• Machine Learning