本项目是一个基于RISC-V指令集架构的向量处理器 (Vector Processing Unit, VPU)设计，旨在实现RISC-V向量扩展 (RVV)规范中定义的向量运算功能。涵盖了处理器设计、计算机体系结构和硬件描述语言编程等多个领域的知识。

The proposed neural network architecture combines the gated recurrent unit (GRU) variant of recurrent neural network (RNN) and the linear support vector machine (SVM).

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...