How can I get access to network's weights in 'adapt' function after each presentation of an input
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I am trying to use 'adapt' function for a dynamic problem by neural network. Is it possible to get access to the network's weights after each presentation of an input
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Greg Heath
on 11 Jul 2015
Edited: Greg Heath
on 11 Jul 2015
I am assuming that your use of the term "dynamic" does not denote using time series (e.g., NARXNET);
Use a loop of one epoch updates.
Each epoch will result in an additional weight column using getwb.
Clunky, slow and huge storage requirements. However, I cannot think of another way.
Hope this helps.
Greg
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