Character recognition method of convolutional neural network based on RISC-V
A convolutional neural network, RISC-V technology, applied in neural learning methods, biological neural network models, character recognition, etc., can solve problems such as poor design and implementation
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[0021] The present invention will be further limited below in conjunction with the accompanying drawings and embodiments, but not limited thereto.
[0022] Such as figure 1 , shown in 2, the application method of RISC-V self-defined acceleration instruction design in the convolutional neural network of the present invention specifically includes the following steps:
[0023] S1. The RISC-V instruction set architecture is a flexible and scalable architecture. The scalability of RISC-V is mainly reflected in two aspects: 1. Predefined Custom instructions, 2. Reserved instruction encoding space. This design uses the reserved instruction encoding space to realize the accelerated instruction.
[0024] The instruction set defined by the RISC-V architecture uses only a small portion of the instruction encoding space. More instruction encoding spaces are reserved for users to use as extended instructions. Since the RISC-V architecture supports a variety of different instruction le...
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