I finished a keyword spotting application with edge impulse, which includes process of mfcc module, NN classifier(use 1D default neural network), and then I wanna deploy the model into C++ library.
When I try to read C++ library code, I encount some problems that I don’t understand.
First, why the number of tensors is 23? Can it be changed?How to change it ?
Second, what is tensor node, why the number of it is 11?
finally, I found that the tensor data are quantified, How did they quantify? Full integer quantization?
Hi @sherry the number of nodes and tensors is dependent on the size of your neural network. You should not change the code that is generated, but if you create a smaller neural network or remove / add layers you’ll see these change.
Second, we use int8 quantization (default in TensorFlow since v2).