Transformation architectures

Generally a difference for machine learners can be made by the nature of input and output.


One to one

Typically an application would be to classify the main motive of a picture (e.g. cat or dog) or the emotional category that is displayed in an audio recording. Key is, that the input is represented by a single vector of values of fixed length.

One to many

Many to one

Sequence to sequence

Many to many

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