Electronic device for executing neural network model including nonlinear operation and operation method thereof

An operation method of an electronic device, the operation method comprising:

• inputting, into a neural network model, data to be inferred, the neural network model comprising a plurality of nodes;
• and
• performing an inference process by:
• obtaining a value of a first node based on a second node among the plurality of nodes, a weight between the second node and first node connected to the second node, and a value of a reference node, among the plurality of nodes;
• and
• obtaining an inference result from the neural network model based on the data to be inferred and the value of the first node.

An electronic device comprising:

• a memory configured to store instructions;
• and
• at least one processor configured to execute the instructions,
• wherein the instructions, when executed individually or collectively by the at least one processor, cause the electronic device to:
• input, into a neural network model, data to be inferred, the neural network model comprising a plurality of nodes;
• and
• perform an inference process by:
• updating a first weight corresponding to transmission of a value of a first node among the plurality of nodes to a second node, based on a value of a first reference node, among the plurality of nodes;
• and
• obtaining an inference result from the neural network model based on the data to be inferred and the updated first weight.