Creating custom Transfer Function with more learnable parameters
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Hello!
I actually working with deep learning toolbox.
I'm making a comparative study of the transfer functions and some of them aren´t in the toolbox, this functions that I would like to try have more learnable parameters than the weights and biases in a "classical" function. For example:
xtansig= 2./(1+exp(x*(-2*n))+1;
What functions will I have to modify to create a new transfer function that, in addition to weights and biases, also finds the "x"?
回答（1 个）
Edit: This article contains information about creating custom functions for NN.
I think there are some similarities between your function and the logistic function. Have you looked into the logsig function?
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2022-11-11
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