In the end-to-end image captioning example from Machine Learning Yearning, what is the direct output (y) of the neural network?

In end-to-end image captioning, the neural network takes an image as input and directly outputs a caption without requiring a separate intermediate module.

In end-to-end image captioning, a neural network inputs an image (x) and directly outputs a _____ (y).

Match each symbol or term to its role in the end-to-end image captioning system described in Machine Learning Yearning.

Order the steps of a forward pass through an end-to-end image captioning neural network.

Which statement best captures what makes image captioning 'end-to-end' according to Machine Learning Yearning?

In end-to-end image captioning from Machine Learning Yearning, the input variable x represents the caption and y represents the image.

End-to-end image captioning is an example of directly learning _____ outputs, as described in Machine Learning Yearning.

Match each description to the correct concept from end-to-end image captioning in Machine Learning Yearning.

Order the reasoning steps for identifying end-to-end image captioning as an instance of directly learning rich outputs.