I am struggling to create a customized neural network in MatLab. I've made a sketch of my intended neural network.
To explain better how the network should work:
- Two input parameters (features) connected to the first hidden layer with two neurons (exactly equal to the number of input parameters)
- Each input parameter is connected to one neuron only.
- No bias in the first hidden layer.
- All the neurons in the first hidden layer are connected to the neurons in the second layer. There is a bias term in the second layer.
- The neurons from the second hidden layer is connected to one output.
- For simplicity, I did not show the projection functions in the plots. Could somebody help me with creating this (probably) simple customized network?
I appreciate your help.
input*weight_1*transfer_function*weight_2
give you that you can't achieve withinput*weight
? – beaker