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What do teams usually try once dev and test sets are fixed?
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Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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An Early Dev/Test Setup Speeds Model Iteration
Revise the evaluation setup when it stops matching the goal
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Reviewing Both Missed and Correct Dev-Set Examples
After a development set and a test set have been chosen, what are they mainly used for?
True or False: A development set score can provide a quick check on whether a new idea is moving a model in the right direction.
Dev and test sets give a quick check on how well a team’s _____ is performing.
Match each dev/test-set action with its main effect.
Arrange the basic workflow for using development and test sets to improve a model.
Explain why a dev set, test set, and metric help a machine learning team work efficiently.
Diagnosing a project with no evaluation set
In one to three sentences, explain how a validation set can guide which model ideas deserve more work.
How does dev set performance help a team choose which ideas to keep improving?
What do teams typically do after they have set up dev and test sets?
True or False: With a fixed development set and a single evaluation metric, a team can quickly tell whether a new idea is helping by a little or by a lot.
A development set and a chosen evaluation metric help a team compare ideas quickly and see whether each change is making progress.