US 2023/0401421 A1 · METHOD AND ELECTRONIC DEVICE OF UPDATING NEURAL NETWORK MODEL

Abstract

A method and an electronic device of updating a neural network model are provided. The method includes the following steps. The neural network model is received. The neural network model includes a first neuron and a second neuron. The training data is input to the first neuron to output a first estimated value from the second neuron. A first weight of the first neuron is quantized to generate a third neuron, and a second weight of the second neuron is quantized to generate a fourth neuron. The training data is input to the third neuron to output a second estimated value from the fourth neuron. A first activation function of the first neuron and a second activation function of the second neuron are updated according to the first estimated value and the second estimated value, thereby generating the updated neural network model. The updated neural network model is output.

Claims18

Dependent claims

An electronic device of updating a neural network model, comprising:

a transceiver for receiving the neural network model and a piece of training data, wherein the neural network model comprises a first neuron and a second neuron connected to the first neuron;
and
a processor coupled to the transceiver, wherein the processor is configured to execute:
inputting the training data to the first neuron to output a first estimated value from the second neuron;
quantizing a first weight of the first neuron to generate a third neuron, and quantizing a second weight of the second neuron to generate a fourth neuron connected to the third neuron;
inputting the training data to the third neuron to output a second estimated value from the fourth neuron;
and
updating a first activation function of the first neuron and a second activation function of the second neuron according to the first estimated value and the second estimated value to generate an updated neural network model,
wherein the transceiver is configured for outputting the updated neural network model.

6 more elements

A method of updating a neural network model for an electronic device having a transceiver and a processor, comprising:

receiving the neural network model and a piece of training data through the transceiver, wherein the neural network model comprises a first neuron and a second neuron connected to the first neuron;
inputting the training data to the first neuron by the processor to output a first estimated value from the second neuron;
quantizing a first weight of the first neuron to generate a third neuron, and quantizing a second weight of the second neuron to generate a fourth neuron connected to the third neuron;
inputting the training data to the third neuron to output a second estimated value from the fourth neuron;
updating a first activation function of the first neuron and a second activation function of the second neuron according to the first estimated value and the second estimated value to generate the updated neural network model;
and
outputting the updated neural network model.

4 more elements

Dependencies are inferred from the claim text.

Method and electronic device of updating neural network model

Life of this patent

Method and electronic device of updating neural network model

Life of this patent

Abstract

Claims18