Method and Apparatus for Processing Data Sequence

The present application discloses a method and apparatus for processing a data sequence. A specific implementation of the method includes: receiving an inputted to-be-processed data sequence; copying a weight matrix in a recurrent neural network model to an embedded block random access memory (RAM) of a field-programmable gate array (FPGA); processing sequentially each piece of to-be-processed data in the to-be-processed data sequence by using an activation function in the recurrent neural network model and the weight matrix stored in the embedded block RAM; and outputting a processed data sequence corresponding to the to-be-processed data sequence. This implementation improves the data sequence processing efficiency of the recurrent neural network model.