Why do pipeline components like a cat detector and a cat breed classifier need less data than an end-to-end classifier?

An end-to-end classifier trained on 0/1 labels requires significantly less data than the decomposed cat detector and breed classifier pipeline.

Each component in the pipeline seems much easier to learn and will require significantly less _____.

Match each pipeline concept to its correct description.

Order the reasoning steps for deciding to decompose the end-to-end cat classifier into a pipeline.

Explain why decomposing a classifier into pipeline components can reduce training data requirements.

Diagnose why a team's end-to-end cat classifier is struggling with limited data.

What is one advantage of pipeline decomposition over end-to-end learning, according to the source?

What are the two components described in the cat classification pipeline example?

Each pipeline component is easier to learn than a purely end-to-end classifier trained on 0/1 labels.