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How to manage connections of neurons inside ANN using OpenCV::ML?

So there is grate sample (only one real sample we found). And it is quite limiting. It shows how to create an architecture of artificial neutral network where all neurons of one layer are connected (forward) to all neurons of following (next) layer. We want to manage this connections so to create a ANN where each neuron of second layer is only connected to 2 neurons of next layer. so we want:

           Layer 1: 2 neurons (2 inputs)
           Layer 2: 3 neurons (hidden layer) (each neuron is connected to 2 neurons of next Layer (3) )
           Layer 3: 3 neurons (hidden layer)
           Layer 4: 1 neurons (1 output)

也许你可以初始化我们不想要为零的连接的权重,并使这些权重的学习率为零。

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