How to make the weight obtained by convolution2dlayer non-negative?

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CHAO WANG
CHAO WANG le 20 Déc 2020
Commenté : CHAO WANG le 5 Jan 2021
I am training a simple network. I need to constrain the weights of one layer of convolution2dlayer to be >0. For example, in keras, Layer weight constraints are implemented using tf.keras.constraints.NonNeg(). Can this function be realized in matlab? If there is no direct way, are there indirect constraints?

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Abhishek Gupta
Abhishek Gupta le 23 Déc 2020
Hi,
As per my understanding, you want to constrain the weights of a convolution2DLayer in MATLAB. You can do so by accessing the weights of a layer as shown below: -
net.LW{i,j}
Referring to the following resources, which might help you in resolving the issue: -
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CHAO WANG
CHAO WANG le 5 Jan 2021
Thank you very much for your answer. It's helpful.I will try to run it on my program.

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