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This project utilizes a convolutional network to identify 9 different kinds of skin cancers including melanoma, nevus, and more. The model is trained on over 2,200 pictures of various skin cancers based off of this dataset. This model implements fundamental computer vision and classification techniques and includes a step-by-step implementation.

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computer-vision convolutional-neural-networks data-visualization deep-learning lenet lenet-5 lenet-architecture machine-learning machine-learning-algorithms neural-network

ml-skincancer-project's Introduction

About Me

I'm a full-stack developer and data scientist from Boston, MA. I'm currently building StudyDSA, a free online resource for students to master data structures and algorithms. My portfolio features a range of open-source projects, from programming drones to training chess bots. I enjoy turning complex problems into beautiful simple solutions.

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