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Microsoft

When you think of "deep learning" you might think of teams of PhDs with petabytes of data and racks of supercomputers.

 

But it turns out that a year of coding, high school math, a free GPU service, and a few dozen images is enough to create world-class models. fast.ai has made it their mission to make deep learning as accessible as possible, and in this interview fast.ai co-founder Jeremy Howard explains how to use their free software and courses to become an effective deep learning practitioner.

 

Resources 

Learn More about FastAi: https://docs.fast.ai/ 

Online Learning Course - Practical Deep Learning for Coders https://course.fast.ai/ 
Follow Jeremy https://twitter.com/jeremyphoward
Create a Free account (Azure for Student Account)
https://aka.ms/azureforstudents 
Deep Learning vs. Machine Learning https://docs.microsoft.com/en-us/azure/machine-learning/concept-deep-learning-vs-machine-learning 
 
Get Started with Machine Learning https://azure.microsoft.com/en-us/overview/ai-platform/dev-resources/ 
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD  (Book) (FREE in Notebook format)
Microsoft AI Show https://channel9.msdn.com/Shows/AI-Show 
Simple and easy distributed deep learning with Fast.AI on Azure ML https://techcommunity.microsoft.com/t5/ai-customer-engineering-team/simple-and-easy-distributed-deep... 
Fast.ai on Microsoft Data Science Virtual Machine https://course.fast.ai/start_azure_dsvm