Abstract: An intention identification model learning method includes receiving positive data that corresponds to a first skill, generating, based on the positive data that corresponds to the first skill, negative data that corresponds to the first skill, determining a second skill similar to the first skill, obtaining data that corresponds to each second skill, generating a second base model based on the data that corresponds to the second skill and a first base model stored on the server, and performing learning based on the second base model, the positive data, and the negative data that correspond to the first skill, and generating an intention identification model.

Abstract: A voltage conversion circuit and a non-isolated power supply system are provided. The voltage conversion circuit includes: a switching power supply chip which includes a power MOS transistor and a driving circuit, where the driving circuit is adapted to drive the power MOS transistor; and a driving circuit power supply unit which includes a boost unit, wherein when an output voltage of the boost unit is less than a working voltage of the driving circuit, an internal power supply of the switching power supply chip provides the working voltage for the driving circuit; and when the output voltage of the boost unit reaches the working voltage of the driving circuit, the output voltage of the boost unit provides the working voltage for the driving circuit.

Abstract: A neural network structure determining method is disclosed. The method includes: obtaining a to-be-trained initial neural network, where the initial neural network includes M first blocks block and a second block, the second block is connected to each first block, and each first block corresponds to one trainable target weight; performing model training on the initial neural network, to obtain M updated target weights; and updating a connection relationship between the second block and the M first blocks in the initial neural network based on the M updated target weights, to obtain a first neural network.

Abstract: A voltage conversion circuit and a non-isolated power supply system are provided. The voltage conversion circuit includes: a switching power supply chip which includes a power MOS transistor and a driving circuit, where the driving circuit is adapted to drive the power MOS transistor; and a driving circuit power supply unit which includes a boost unit, wherein when an output voltage of the boost unit is less than a working voltage of the driving circuit, an internal power supply of the switching power supply chip provides the working voltage for the driving circuit; and when the output voltage of the boost unit reaches the working voltage of the driving circuit, the output voltage of the boost unit provides the working voltage for the driving circuit.

Abstract: An intention identification model learning method includes receiving positive data that corresponds to a first skill, generating, based on the positive data that corresponds to the first skill, negative data that corresponds to the first skill, determining, a second skill similar to the first skill, obtaining data that corresponds to each second skill, generating a second base model based on the data that corresponds to the second skill and a first base model stored on the server, and performing learning based on the second base model, the positive data, and the negative data that correspond to the first skill, and generating an intention identification model.