How to make the weight obtained by convolution2dlayer non-negative?
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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?
0 commentaires
Réponse acceptée
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: -
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Deep Learning Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!