This is a quick guide to starting Part 1 of the fast.ai course Practical Deep Learning for Coders using Gradient° Notebooks. With Gradient°, you have quick and effortless access to a Jupyter instance (Lab or Notebook) without needing to set up a virtual machine. Paperspace is a GPU-accelerated cloud platform.
Summary of Charges
There are no storage fees associated with using Gradient Notebooks. Users pay hourly usage fees for the time that their Notebooks are Running.
Step 1: Create a Paperspace Account
Step 2: Access Gradient & Create Notebook
On the left-hand side of your Console under Gradient, select Notebooks.
Under Public Containers, select either of the two Paperspace + Fast.ai base containers.
Visit this page for further instructions on creating and managing your notebook(s).
Fast.ai data files (dogs & cats, for example) can be found in the 'datasets' folder. Files in this directory are hosted by Paperspace and are read-only. See Public Datasets for more info.
The 'storage' folder is your Persistent Storage. Files placed here are available across runs of Paperspace Jobs, Notebooks, and Linux machines. Empty by default, this repository is meant to store training datasets.
The rest of the files in the notebooks directories will be available as Artifacts when your notebook is stopped.
Paperspace provides $10 of Gradient credit to start you off on your course. This code is to be used for fast.ai students only. In your console, click on Billing in the left-hand menu and enter the promo code at the bottom right. The promo code for this course is: FASTAIGR19.
Note: The above code is valid until January 1, 2020
Note: If you opt for a Gradient 1 Subscription, promotional credit does not apply. Learn more about Gradient Subscription levels here.
For questions or issues related to course content, we recommend posting in the fast.ai forum.