How to update weight of pre-trained network (Resnet50) using deep network designer

2 views (last 30 days)
Teo
Teo on 21 Jul 2021
Commented: Teo on 16 Aug 2021
hi, i notice that when importing pretrained network using deep network designer the weights of the convolution2dLayer is fixed. Is there any ways for me to update the weight instead of replacing the whole new convolution2dLayer?
The pre-trained network convolution2dLayer
The new convolution2dLayer
Hope someone could enlighten me on this because i try to add another layer on top the original convolutional layer.

Accepted Answer

David Willingham
David Willingham on 22 Jul 2021
Hi,
Deep Network Designer has no capability of editing Weights directly, this is normally done during the training process.
However it would be great to try and capture your use case, to see if we should consider adding this capability.
Can you elaborate why you'd like to manually replace one layer, and then edit the weights of the network?
Regards,
David
  3 Comments

Sign in to comment.

More Answers (0)

Products


Release

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by