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Complex Outputs from End-to-End Models
Question: When an end-to-end model is trained on the right labeled examples, what kinds of outputs can it learn to produce?
Sample answer: With enough labeled input-output pairs, an end-to-end system can learn to produce rich outputs such as complete sentences, pictures, or sound, rather than only a single numeric value.
Key points:
- The output can be richer than one number.
- Examples include text, an image, or audio.
Rubric: Full credit is awarded for saying that the output may be more complex than a single number and naming at least one valid example, such as a sentence, an image, or audio.
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