How to implement 2D depthwise/seperable convolution layer in 2017b?
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Hi!
I want to know, if anyone has an idea how to create a custom depthwise or seperable convolutionlayer with Matlab with the methods described here.
We have PCT and MDCS Licenses for 2017b and therefore I cannot use 2019b, where those layers are available. I was now thinking about implementing a custom layer which perfoms depthwise and pointwise convolution like the corespondig Keras layer seperable_conv2d. But at the moment I have no idea how to start.
I have sensordata timeseries and I want one kernel convolving over dimension "time" and the other convolving over dimension "sensors".
Can anybody help me?
Thanks!
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