Patent ID: 11893083
Assignee: CORETRONIC CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. An electronic device for training or applying a neural network model, comprising:
a transceiver;
a storage medium configured to store multiple modules and the neural network model; and
a processor configured to couple to the storage medium and the transceiver, and configure to access and execute the modules, wherein the modules comprise:
a data collection module configured to receive an input data via the transceiver; and
a calculation module configured to perform convolution on the input data to generate a high-frequency feature map and a low-frequency feature map, and perform one of upsampling and downsampling to match a first size of the high-frequency feature map and a second size of the low-frequency feature map, concatenate the high-frequency feature map and the low-frequency feature map to generate a concatenated data, and input the concatenated data to an output layer of the neural network model.