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NMSIS-NN
Version 1.6.0
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 | |
| 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. | |
| MinimumMaximum | |
| 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 | |
| Pad Layer Functions: | |
| Pooling Functions | |
| Perform pooling functions, including max pooling and average pooling. | |
| Reshape Functions | |
| Softmax Functions | |
| SVDF Functions | |
| Transpose Functions | |
A collection of functions to perform basic operations for neural network layers. Functions with a _s8 suffix support TensorFlow Lite framework.