PARALLEL SEQUENCE REDUCTIONS WITH RECURSIVE NEURAL NETWORKS

A parallel recursive neural network, including: a memory configured to store data and processing instructions; and a parallel computer processor configured to: receive a set of input values; apply a recursive layer function individually on each of the set of input values in parallel to produce a set...

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Bibliographic Details
Main Author Schulman, Daniel Jason
Format Patent
LanguageEnglish
Published 16.07.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A parallel recursive neural network, including: a memory configured to store data and processing instructions; and a parallel computer processor configured to: receive a set of input values; apply a recursive layer function individually on each of the set of input values in parallel to produce a set of hidden states; apply a reduction function on pairs of adjacent hidden states in the set of hidden states in parallel to produce a new set of hidden states; and repeat applying the reduction function of pairs of adjacent states in the new set of hidden states in parallel until a single output hidden state results.
Bibliography:Application Number: US201916712005