NMSIS-NN
Version 1.2.0
NMSIS NN Software Library
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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. | |
GroupElementwise | |
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 | |
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.