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
Microsoft