Image classification method, neural network training method and neural network training device

The invention provides an image classification method, a neural network training method and a neural network training device. The invention relates to the field of artificial intelligence, in particular to computer vision. The image classification method comprises the steps: obtaining a to-be-processed image; and performing convolution processing on the to-be-processed image according to a pre-trained neural network model to obtain a convolution feature map of the to-be-processed image, and classifying the to-be-processed image according to the convolution feature map of the to-be-processed image to obtain a classification result of the to-be-processed image. The neural network model not only adopts labels of a plurality of training images during training, but also adopts class hierarchical structure information of the plurality of training images, and the neural network model utilizes richer information of the training images during training, so that the neural network model can better classify the images.