NMSISNN
Version 1.0.1
NMSIS NN Software Library

Convolutional Neural Network Example  
Gated Recurrent Unit Example  
▼Neural Network Functions  These functions perform basic operations for neural network layers 
Neural Network Activation Functions  Perform activation layers, including ReLU (Rectified Linear Unit), sigmoid and tanh 
Neural Network Convolution Functions  Perform convolution layer 
Fullyconnected Layer Functions  Perform fullyconnected layer 
Neural Network Pooling Functions  Perform pooling functions, including max pooling and average pooling 
Softmax Functions  EXP(2) based softmax function 
Neural Network Data Conversion Functions  Perform data type conversion inbetween neural network operations 
Basic Math Functions for Neural Network Computation  Basic Math Functions for Neural Network Computation 