Direct Image-to-Text Captioning

Direct Text-to-Audio Mapping

End-to-End Question Answering Inputs and Output

Direct Translation Is a Rich-Output Learning Problem

Speech Recognition Produces Structured Outputs

What kinds of outputs can an end-to-end model learn directly?

End-to-end deep learning can only be used when the target is a single numeric value.

To train an end-to-end system that produces detailed outputs, you need the right labeled _____ pairs.

Match each output type to a concrete example of a rich prediction.

Order the reasoning steps for deciding whether an end-to-end system can predict a rich output.

What most enables end-to-end learning to handle outputs such as sentences, images, or audio?

A language model can be trained to generate a complete sentence directly from labeled examples.

Learning rich outputs directly with one model is described as an accelerating _____ in deep learning.

Match each end-to-end application with the kind of rich output it produces.

Steps for Training an End-to-End System That Produces a Rich Output

Why End-to-End Models Need Labeled Structured Targets

Training a Document-to-Summary Model

What kind of outputs can end-to-end deep learning learn?