Image classification method and device of spiking neural network structure, equipment and medium

The invention discloses an image classification method and device of a pulse neural network structure, equipment and a medium, and the method comprises the steps: obtaining a preset image data set, and carrying out the standardization processing of the image data set, and generating a standardized data set; dividing the standardized data set into a training set and a test set according to a preset proportion; defining a search space of the differentiable pulse neural network structure, inputting the training set into the search space, and searching the differentiable pulse neural network structure by using a gradient descent algorithm; introducing an attention mechanism to construct an image classification model based on the differentiable pulse neural network structure obtained by searching; training the constructed image classification model through the training set, inputting the test set into the trained image classification model, and generating an image classification result; according to the invention,