Non-linear activation function RELU implementation method, equipment and medium
A technology of activation function and implementation method, applied in the direction of neural architecture, biological neural network model, etc., can solve the problems of high power consumption, slow speed, and reducing the advantages of photonic neural network, and achieve the effect of low power consumption, guaranteed speed and function
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[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0043] The present invention provides a method for realizing the nonlinear activation function RELU, such as figure 1 shown, including the following steps:
[0044] S101. Obtain the original input amount;
[0045] In practical applications, the original input is a digital signal, assuming that the original input is x 1 ,x 2 ,...x n-1 ,x n , the expression of the activation function RELU should be:
[0046]
[0047] At this time, the form of the activa...
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