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Sequence Models (Sequence Generation (Sequence generation involves…
Sequence Models
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Sequence Generation
Sequence generation involves generating a new output sequence that has the same general characteristics as other sequences in the corpus.
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Input = [1,3,5], [7,9,11]
Output = [3,5,7]
Examples
Text Generation
Given a corpus of text, such as the works of Shakespeare, generate new sentences or paragraphs of text that read like Shakespeare.
Handwriting Prediction
Given a corpus of handwriting examples, generate handwriting for new phrases that has the properties of handwriting in the corpus.
Music Generation
Given a corpus of examples of music, generate new musical pieces that have the properties of the corpus.
Sequence generation may also refer to the generation of a sequence given a single observation as input.
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Example
Image Caption Generation
Given an image as input, generate a sequence of words that describe an image. Automatic textual description of images.
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The sequence imposes an order on the observations that must be preserved when training models and making predictions.
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