NEURAL NETWORK POST-PROCESSING METHOD AND APPARATUS, CHIP, ELECTRONIC DEVICE, AND STORAGE MEDIUM

The present application relates to the field of artificial intelligence, and provided in an embodiment thereof is a neural network post-processing method. In response to receiving a convolution result of a neural network layer, an address table entry that matches the neural network layer is looked up in a pre-constructed lookup table on the basis of channel information of said neural network layer; an activation and quantization parameter corresponding to the convolution result is selected from within a matched address table entry; and then an activation and quantization value corresponding to the convolution result is calculated on the basis of the convolution result and the selected activation and quantization parameter. Further provided in the present application are a neural network post-processing apparatus, a chip, an electronic device, and a computer-readable storage medium. Activation and quantization are merged together, the expressive ability and adaptability of a neural network model are able to be