A method of image recognition includes: acquiring an image training sample data set, where the image training sample data set includes image training sample data and tag information corresponding to the image training sample data; constructing basic activation function and preset bias adjustment function as preset activation function in an addition relationship, determining the preset activation function to be an activation function of a neural network model, to obtain an initial neural network model, where the preset bias adjustment function is a function constructed from a symbol function, a first trainable parameter and a quadratic term in a multiplication relationship; inputting the image training sample data set into the initial neural network model for training until the model converges, to obtain a trained neural network model; when an image to be recognized is acquired, outputting a recognition result corresponding to the image by using the trained neural network model.