Workflow
In machine learning, a workflow is a set of processes working towards a certain objective.
Workflows may consist of processing and cleaning data, training and evaluating a model, and/or deploying a model. Users design and monitor workflows which can be customized for specific use cases.
Paperspace Workflows are designed to simplify automating machine learning tasks.
Workflow Articles
Recommended Articles
Create and run two example Gradient Notebooks, one using Fast.ai to get started and another using CLIP-PixelDraw to generate a clip art from a string of text.
The Gradient GitHub App lets you start training runs in Workflows and Deployments by listening for commits in GitHub.
Create a notebook using Paperspace’s CPU- and GPU-backed machines.