Custom Layer Learnable Parameters Initialization.
조회 수: 5(최근 30일)
표시 이전 댓글
David Ernesto Caro 2020년 3월 8일
댓글: Jose Cortes-Briones 2023년 1월 16일
I created a Custom Layer with Learnable Parameters (https://www.mathworks.com/help/deeplearning/ug/define-custom-deep-learning-layer.html)
However, to initialize these parameters I need to know the outputsize of the previous layer. I noticed that some pre-defined layers such as FullyConnected automaticly initialize its own weights using information from previous layers. Is there a way to automatize the weights initialization on custom layers at network initialization?
댓글 수: 1
John Smith 2021년 10월 4일
Unfortunately, at least as of version 2021a, Matlab doesn't provide staright forward capabilities to automatically initialize learnable parameters of a custom layer similar to its built-in layers.
There's a workaround though using a shadow built-in network nested inside your custom layer (see here). Matlab will automatically initialize this layer from which learnable parameters you can pick up the values that you need.
It's a kludge, but it works (I've implemented such a scheme myself.
댓글 수: 1
Joss Knight 2023년 1월 16일
This is now supported via the optional method initialize: https://www-integ2.mathworks.com/help/deeplearning/ug/define-custom-deep-learning-intermediate-layers.html#mw_87362c7c-37d3-40c2-b5c8-c45ded304bcb
댓글 수: 1
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!