I am working on visual question answering task and i want to reproduce the work in this paper https://arxiv.org/pdf/1511.05756v1.pdf
where they predict a layer's weights in a network using the question embedding. i wonder can i do that in keras?
i tried that and i know that for each tensor there is an argument weight
ex: Dense(128 , weight= )
but it expect a real number, and i want to train the network in an end to end.
How to predict a layer's weights using another model in an end to end fashion?
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