PROBLEM TO BE SOLVED: To provide a recognition device, a training device and a method based on a deep neural network.SOLUTION: The deep neural network is designed to input a training sample including a positive sample and a negative sample to the input layer of the deep neural network. The recognition device includes a determination unit which, when the reliability of all positive sample classes in a classification result outputted by an output layer of the deep neural network is smaller than a prescribed threshold, determines that a sample waiting for recognition is a pseudo-abnormal sample. In this way, it is possible to improve the reliability of a classification result outputted by the deep neural network.SELECTED DRAWING: Figure 4
RECOGNITION DEVICE, TRAINING DEVICE AND METHOD BASED ON DEEP NEURAL NETWORK