REAL TIME CONTEXT DEPENDENT DEEP LEARNING

In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in...

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Bibliographic Details
Main Authors Bar-On, Tomer, Yehezkel Rohekar, Raanan Yonatan, Behar, Michael, Sarel, Uzi, Fais, Yaniv, Faivishevsky, Lev, Dreyfuss, Jeremie, Schwartz, Tomer, Bleiweiss, Amit, Subag, Jacob, Armon, Amitai
Format Patent
LanguageEnglish
Published 07.12.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.
Bibliography:Application Number: US202318325744