Method and system for executing neural network
AssigneeAlibaba Group Holding Limited
InventorsMinghai Qin, Chunsheng Liu
Life of this patent
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Abstract
The present disclosure provides methods and systems for executing a neural network. The method includes: receiving a plurality of input vectors of input data; generating, among the plurality of input vectors, an estimation value associated with a subset of an input vector based on a weight vector of the activation function; determining whether the estimation value associated with the subset of the input vector satisfies a threshold condition; and determining an output of the activation function based on the estimation value.
Claims20
A computer-implemented method for executing an activation function of a neural network, comprising:
- receiving a plurality of input vectors of input data;
- generating, among the plurality of input vectors, an estimation value associated with a subset of an input vector based on a weight vector of the activation function;
- determining whether the estimation value associated with the subset of the input vector satisfies a threshold condition;
- and
- determining an output of the activation function based on the estimation value.
A system for executing a neural network, comprising:
- a memory storing a set of instructions;
- and
- at least one processor configured to execute the set of instructions to cause the system to perform:
- receiving a plurality of input vectors of input data;
- generating, among the plurality of input vectors, an estimation value associated with a subset of an input vector based on a weight vector of the activation function;
- determining whether the estimation value associated with the subset of the input vector satisfies a threshold condition;
- and
- determining an output of the activation function based on the estimation value.
A non-transitory computer readable medium that stores a set of instructions that is executable by at least one processor of a computer system to cause the computer system to perform a method for executing an activation function of a neural network, the method comprising:
- receiving a plurality of input vectors of input data;
- generating, among the plurality of input vectors, an estimation value associated with a subset of an input vector based on a weight vector of the activation function;
- determining whether the estimation value associated with the subset of the input vector satisfies a threshold condition;
- and
- determining an output of the activation function based on the estimation value.
Dependencies are inferred from the claim text.