Abstract: An information processing method and an information processing apparatus, a terminal and a network device are provided, and relate to the field of communication technology. The method includes: receiving, by a terminal, a downlink signal sent by a network device; determining, by the terminal, a first network model according to the downlink signal; wherein the first network model is at least one of I network models which are pre-deployed or are downloaded from the network device side, where I is a positive integer; encoding, by the terminal, first channel information through the first network model, to obtain to-be-transmitted encoded data; and processing, by the terminal, the encoded data and then sending, by the terminal, data resulting from the processing of the encoded data to the network device.

Abstract: Embodiments of the present disclosure provide a neural network operation method and apparatus, and a storage medium. The method comprises: adding a random mask layer to a first neural network according to the type of a variable dimension, to obtain a second neural network, the random mask layer being used for performing random mask processing on a tensor inputted to the random mask layer; and training the second neural network by using sample data. According to the neural network operation method and apparatus and the storage medium provided in embodiments of the present disclosure, by adding the random mask layer to a neural network, only one neural network needs to be trained and deployed to adapt to different input and output dimension requirements; the method is low in training complexity, low in storage overhead, and easy in deployment and continued evolution of online training.