NMSIS-NN  Version 1.0.2
NMSIS NN Software Library
Neural Network Functions

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.
 
 Fully-connected Layer Functions
 Collection of fully-connected 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
 

Detailed Description

A collection of functions to perform basic operations for neural network layers. Functions with a _s8 suffix support TensorFlow Lite framework.