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which statements about LSTM applications are true? a ) Fan et al . ( 2 0 1 5 ) trained an LSTM to predict audio
which statements about LSTM applications are true?
a
Fan et al trained an LSTM to predict audio from videos of speeches. Given a muted video recording of a speech, they could accurately recover the sound of the speech.
b
ISTM can be used for protein classification. Hereby, the protein is represented as a sequence of bases A C G T and the labels are either functional or structural properties of the respective protein.
c
Radford et al used an LSTM to discover sentiment in Amazon reviews by training it for sequence classification good vs bad on the review text.
dwordvec" Mikolov et al is an example for a word embedding technique.
e A word embedding space is a real vector space in which words are represented as vectors points which often show meaningful relations to each other. For instance, let be the trained embedding function, then queen
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