Using DropoutLayer in neural network (not only in CNN)

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Andy_daodao 2017-8-16

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评论： Junwei Liu 2021-2-26

hey guys,

i am using matlab to create a Neural Network for a Regression Problem.

to avoid overfitting i want to add a dropoutLayer after the Input layer, but i see only examples for CNN.

did someone knows, how to add a dropoutLayer in noraml neural Network or Setting the Options of neural Network(not CNN)

thanks

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Mario Schweda 2020-4-29

I´m looking for the same. A droput layer for simple networks like fitnet. Not only for CNNs.

Junwei Liu 2021-2-26

have you solve this problem？I have met the seem problem

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Moses Wayne 2017-8-16

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The "dropoutLayer" class seems to be able to solve your problem. Calling it with no arguments returns a layer with 0.5 probability of dropping an input element. This layer can then be used in the training of your neural network. Here is a code example of creating a dropout layer with .6 probability of dropping an input element:

myLayer = dropoutLayer(0.6)

I have linked the documentation to the "dropoutLayer" class here.