NMSIS-NN
Version 1.3.1
NMSIS NN Software Library
|
A collection of functions to perform basic operations for neural network layers. Functions with a _s8 suffix support TensorFlow Lite framework. More...
Modules | |
Structure Types | |
Enums and Data Structures used in public API. | |
Activation Functions | |
Perform activation layers, including ReLU (Rectified Linear Unit), sigmoid and tanh. | |
Elementwise Functions | |
Elementwise add and multiplication functions. | |
Concatenation Functions | |
Convolution Functions | |
Collection of convolution, depthwise convolution functions and their variants. | |
Fully-connected Layer Functions | |
Collection of fully-connected and matrix multiplication functions. | |
LSTM Layer Functions | |
Get size of additional buffer required by riscv_svdf_s8() for Arm(R) Helium Architecture case. Refer to riscv_svdf_s8_get_buffer_size() for function argument details. | |
Pooling Functions | |
Perform pooling functions, including max pooling and average pooling. | |
Reshape Functions | |
Softmax Functions | |
SVDF Functions | |
A collection of functions to perform basic operations for neural network layers. Functions with a _s8 suffix support TensorFlow Lite framework.