Method and apparatus for generating neural network structure, electronic device, and storage medium

An apparatus for generating a neural network structure, comprising:

• a processor;
• and
• a memory storing instructions, the instructions when executed by the processor, cause the processor to perform operations, the operations comprising:
• sampling the neural network structure to generate a network block, the network block comprising at least one network layer;
• constructing a sampling neural network based on the network block;
• training the sampling neural network based on sample data, and obtaining an accuracy corresponding to the sampling neural network;
• and
• in response to that the accuracy does not meet a preset condition, regenerating a new network block according to the accuracy until a sampling neural network constructed by the new network block meets the preset condition, and using the sampling neural network meeting the preset condition as a target neural network.

A non-transitory computer storage medium for storing computer readable instructions, the computer readable instruction when executed by a processor, causes the processor to perform operations, the operations comprising:

• sampling the neural network structure to generate a network block, the network block comprising at least one network layer;
• constructing a sampling neural network based on the network block;
• training the sampling neural network based on sample data, and obtaining an accuracy corresponding to the sampling neural network;
• and
• in response to that the accuracy does not meet a preset condition, regenerating a new network block according to the accuracy until a sampling neural network constructed by the new network block meets the preset condition, and using the sampling neural network meeting the preset condition as a target neural network.