Learn Before
Task Simplicity for Pipeline Component Selection
Task simplicity can favor adding an intermediate component instead of feeding raw inputs into a later component. In the self-driving example, adding a lane-marking detector gives the planner missing information while avoiding a path-planning module that must solve a more complex raw-image task.
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Task Simplicity for Pipeline Component Selection
When designing a non-end-to-end pipeline, which two decisions must a practitioner make?
Choosing not to use an end-to-end system eliminates the need to make architectural decisions about your ML system.
If you choose not to use an end-to-end system, you must decide what steps are in your _____ and how they should plug together.
Match each pipeline design term to its correct description.
Arrange the design activities a practitioner follows when building a non-end-to-end ML pipeline.
In ML Yearning, what does deciding 'how steps plug together' primarily refer to in a non-end-to-end pipeline?
Designing a non-end-to-end pipeline requires deciding both what steps to include and how those steps connect to each other.
According to ML Yearning, after deciding what steps a pipeline contains, you must determine how they should _____ together.
Match each pipeline design scenario to the specific decision it illustrates.
Order the reasoning steps a practitioner uses when deciding whether and how to design a non-end-to-end pipeline.
Core Decisions in Non-End-to-End Pipeline Design
Structuring an Alternative Pipeline System
Primary Decisions for Non-End-to-End Pipelines
Learn After
Easier Component Tasks Need Fewer Training Examples
Decomposing Complex Tasks Supplies Prior Knowledge
Pipeline Components Should Be Simple Enough for Modest Data
Why is a lane-marking detector preferable to sending raw camera images directly to the planner?
Task simplicity concerns how easy each individual pipeline component is to build or learn.
Adding a _____ component gives the planner important information without requiring it to interpret raw images.
Match each self-driving pipeline element with its role under the task-simplicity principle.
Order the reasoning used to select a simpler self-driving pipeline.
Explain how an intermediate detector can make a pipeline easier to build or train.
Diagnose whether a planner should receive raw images or detected lane markings.
What two benefits does the lane-marking detector provide to the planner?
Which pipeline change best follows the recommendation to keep individual component tasks easy?
Sending raw camera images to the planner follows task simplicity because it eliminates an intermediate component.