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Build and Deploy a Deep Learning Image Classification App
Skin cancer image classification with fastai and Render
In this article I’ll show you how to go from concept to deployment with a computer vision classification model. With fastai you can quickly build and train a state-of-the-art deep learning model. Then, Render makes hosting and deploying your app a breeze.
We’ll go step-by-step as we build and deploy a model to classify skin lesion images. When finished, users will be able upload an image to a website and the model will classify their skin lesion.
I plan to write a similar article on NLP soon — follow me to make sure you don’t miss it! 😄
Disclaimers:
Health/legal: This project is for demonstration purposes only. If you think you may have a skin problem, go see a health care professional. I’m not a health care professional.
Technical: This example isn’t intended for a large-scale website with millions of hits. If you have that issue — well, that’s a good problem to have. 😀 This setup might work. Render uses Docker and Kubernetes behind the scenes to make scaling as close to painless as possible.
Alright — back to the action!
