NMSISNN
Version 1.0.2
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  
Activation Functions  
Perform activation layers, including ReLU (Rectified Linear Unit), sigmoid and tanh.  
Basic math functions  
Element wise add and multiplication functions.  
Concatenation Functions  
Convolution Functions  
Collection of convolution, depthwise convolution functions and their variants.  
Fullyconnected Layer Functions  
Collection of fullyconnected and matrix multiplication functions.  
Pooling Functions  
Perform pooling functions, including max pooling and average pooling.  
Reshape Functions  
Softmax Functions  
EXP(2) based softmax functions.  
SVDF Layer Functions  
A collection of functions to perform basic operations for neural network layers. Functions with a _s8 suffix support TensorFlow Lite framework.