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US Patent 12118463 Weight value decoder of neural network inference circuit

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
121184631
Patent Inventor Names
Jung Ko1
Kenneth Duong1
Steven L. Teig1
Date of Patent
October 15, 2024
1
Patent Application Number
175501771
Date Filed
December 14, 2021
1
Patent Citations
‌
US Patent 9904874 Hardware-efficient deep convolutional neural networks
1
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US Patent 10409604 Apparatus and method for performing multiply-and-accumulate-products operations
1
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US Patent 10445638 Restructuring a multi-dimensional array
1
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US Patent 10489478 Configurable convolution engine
1
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US Patent 10515303 Wavelet representation for accelerated deep learning
1
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US Patent 10657438 Backpressure for accelerated deep learning
1
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US Patent 10664310 Memory access optimisation using per-layer computational mapping and memory allocation for CNN application
1
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US Patent 10768856 Memory access for multiple circuit components
1
...
Patent Primary Examiner
‌
Michael D. Yaary
1
CPC Code
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G06N 3/04
1
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G06N 3/08
1
Patent abstract

Some embodiments provide a method for a neural network inference circuit that executes a neural network including multiple computation nodes at multiple layers. Each computation node of a set of the computation nodes includes a dot product of input values and weight values. The method reads a set of encoded weight data for a set of weight values from a memory of the neural network inference circuit. The method decodes the encoded weight data to generate decoded weight data for the set of weight values. The method stores the decoded weight data in a buffer. The method uses the decoded weight data to execute a set of computation nodes. Each computation node of the set of computation nodes includes a dot product between the set of weight values and a different set of input values.

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