This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.
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-learning-with-fast-ai-on-azure/ba-p/1434685
Fast.ai on Microsoft Data Science Virtual Machine https://course.fast.ai/start_azure_dsvm