VECTOR COMPUTATION UNIT IN A NEURAL NETWORK PROCESSOR
First Claim
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1. A circuit for performing neural network computations for a neural network comprising a plurality of layers, the circuit comprising:
- activation circuitry configured to receive a vector of accumulated values and configured to apply a function to each accumulated value to generate a vector of activation values; and
normalization circuitry coupled to the activation circuitry and configured to generate a respective normalized value for each activation value.
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Abstract
A circuit for performing neural network computations for a neural network comprising a plurality of layers, the circuit comprising: activation circuitry configured to receive a vector of accumulated values and configured to apply a function to each accumulated value to generate a vector of activation values; and normalization circuitry coupled to the activation circuitry and configured to generate a respective normalized value from each activation value.
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Citations
12 Claims
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1. A circuit for performing neural network computations for a neural network comprising a plurality of layers, the circuit comprising:
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activation circuitry configured to receive a vector of accumulated values and configured to apply a function to each accumulated value to generate a vector of activation values; and normalization circuitry coupled to the activation circuitry and configured to generate a respective normalized value for each activation value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification