How to determine which neurons to connect between layers in an artificial neural network? -


say first input layer have 10 input nodes/neurons. hidden layer has 10 neurons well. third , final layer 1 output neuron.

how connect layers? there technique determining best way or connect each input neuron each of hidden layer neurons total of 100 edges between 2 layers?

this basic question haven't seen many concrete examples. examples did find either seem connect neurons or connections seem randomized.

if anything, based on intuition , empirical results. i've seen people use recursive neural networks.

with feedforward neural network, makes sense connect neurons layer n neurons in layer n+1.

here example latest usage (to demonstrate enormous amount of edges):

neural network


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