Let's say there are 2 different/separate keras layers,
encoder_1 & encoder_2
with both having output shape of (None, 4096)
.
Now how to define keras multiply layer which gives (None, 4096, 4096)
as it's output shape.
Is this same as Kronecker product?
If not the same please show how to implement Kronecker product of 2 layers named, encoder_1 & encoder_2?
How to define Kronecker product layer of 2 keras layers of shape (None, 4096) is performed?
362 Views Asked by Bhuvan S At
1
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So you should be able to achieve this simply using either the
Dot
layer ordot
method of Keras, after inserting dimensions of length 1:outer
should be a tensor of shape(None, 4096, 4096)
.