how to achieve parameter sharing in the deep learning design?
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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
on 17 Aug 2024 at 11:37
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:
Hope this helps!
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