how to achieve parameter sharing in the deep learning design?

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zini
zini 2024-8-17
回答： Amith 2024-8-17
in the deep learing design, is there a way to achieve an intermidiate layer, and this layer can accept varied length of inputs, each input is processed using the same learnable parameters.

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Amith
Amith 2024-8-17
Hi Zini,
If the Deep Learning Toolbo doesn't offer the specific layer you need for your task, you have the option to create your own custom layer. You can learn more about defining a custom deep layer with formatted inputs by visiting this link:
https://www.mathworks.com/help/deeplearning/ug/define-custom-deep-learning-layer-with-formatted-inputs.html
Hope this helps!

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