Overview

This user manual describes the NMSIS NN software library, a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Nuclei RISC-V processors.

The library is divided into a number of functions each covering a specific category:

• Convolution Functions
• Activation Functions
• Fully-connected Layer Functions
• SVDF Functions
• Pooling Functions
• Softmax Functions
• Elementwise Functions
• LSTM Layer Functions

The library follows the int8 and int16 quantization specification of TensorFlow Lite for Microcontrollers.

If you want to learn more about it, please refer to NMSIS-NN