trainNetwork - protect centain layers from changing

2019 1 26
1 个回答
更新时间：2021 8 20
1 次查看（30 天）

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Hi,
I am trying to do train a neural net with my own layers but I dont want to change weights and biases in certain layers.
algorithm looks like this:
train Net1 with Layers1
train Net2 with Layers = [Layers2 Layers1]
My problem is that I dont want to anyhow alter weights and biases in Layers1, is there any way to do this?

回答（1 个）

BERGHOUT Tarek
BERGHOUT Tarek 2019-2-4

0 个投票

yes there is a pssibility take this codes and change the training lope, when you find ''for i=1: nember of layes '' change it to for " i=2:nember of layes ", good luck.
https://www.mathworks.com/matlabcentral/fileexchange/69947-back-propagation-algorithm-for-training-an-mlp?s_tid=prof_contriblnk

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