We first partnered with Jeremy Howard and the Fast.ai team around three years ago for the launch of the original course.
If you aren't already familiar, Fast.ai is the nonprofit behind what is probably the most popular, successful, and effective machine learning MOOC ever launched – Practical Deep Learning for Coders.
We're excited to announce that the Fast.ai team has launched an updated course for 2020 and that Gradient is once again one of the recommended platforms for this new and improved course.
Fast.ai recommends using Paperspace Gradient for a powerful and configurable Jupyter notebook environment. As the course description notes, "Gradient is a 'real' Jupyter Notebook so everything in the course works. It also provides space to save your notebooks and models."
In addition to providing a fully featured Jupyter notebook environment, Gradient solves a few problems that other popular cloud notebooks have around data management and ingestion from different sources and persisting notebooks across sessions.
Over the years we've supported tens of thousands of Fast.ai students on their way to mastering deep learning – and we proudly stand behind the success of the many students each year who find Gradient helpful in their ML journey.
We're also pleased to continue offering Free GPUs for Fast.ai students (and anyone else interested in machine learning and deep learning by the way).
Bonus: If we're out of capacity on free machines you can use the promo code FASTAIGR20 before the end of the year to get $15 in free Gradient credits.️
We hope you find some time to check out the new course. We'll be here to support you on your Fast.ai journey!
Thanks as always from the Paperspace team. ♥️
How to get up and running with fast.ai on Paperspace:
