ARTIFICIAL NEURAL NETWORK REGULARIZATION SYSTEM FOR A RECOGNITION DEVICE AND A MULTI-STAGE TRAINING METHOD ADAPTABLE THERETO

摘要

An artificial neural network regularization system for a recognition device includes an input layer generating an initial feature map of an image; a plurality of hidden layers convoluting the initial feature map to generate an object feature map; and a matching unit receiving the object feature map and performing matching accordingly to output a recognition result. A first inference block and a second inference block are disposed in at least one hidden layer of an artificial neural network. The first inference block is turned on and the second inference block is turned off in first mode, in which the first inference block receives only output of preceding-layer first inference block. The first inference block and the second inference block are turned on in second mode, in which the second inference block receives output of preceding-layer second inference block and output of preceding-layer first inference block.