Machine Learning Using Four-Bit Binary Data Formats
AssigneeDeepMind Technologies Limited
InventorsJian Li, Sanjiv Kumar, Felix Chern, Zhifeng Chen
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AssigneeDeepMind Technologies Limited
InventorsJian Li, Sanjiv Kumar, Felix Chern, Zhifeng Chen
Estimating the term…
A computing system can obtain a machine-learned model comprising one or more parameters having a four-bit binary format. The four-bit binary format can correlate a plurality of sixteen respective binary values to a plurality of sixteen corresponding numerical values represented by the binary values. The sixteen numerical values can be symmetric about a median. A plurality of step sizes between the sixteen numerical values can be non-uniform. The computing system can obtain one or more input values for one or more layers of the machine-learned model. The computing system can process, based at least in part on the one or more parameters having the four-bit binary format, the one or more input values to generate one or more output values.
A method comprising:
A computing system comprising one or more processors and one or more non-transitory computer-readable media storing instructions that are executable by one or more processors to cause the computing system to perform operations, the operations comprising:
One or more non-transitory computer-readable media storing instructions that are executable by one or more processors to cause a computing system to perform operations, the operations comprising:
A processor device comprising:
Dependencies are inferred from the claim text.