I want to analize a network such that all neurons of its hidden layers output
LogisticSigmoid[w.x+b], which is one of the most common ouputs analized in a neuron. Is there a way to combine
LinearLayer that gives output w.x+b and the
LogisticSigmoid function? I looked for an option of changing the activation function in
LinearLayer but I did not find it.
Note: I do not want to use twice ammount of hidden layers by first applying
LinearLayer and then
ElementWiseLayer[LogisticSigmoid], I would like the network to be more compact.
How would I do that?