- #1
scorpius1782
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Homework Statement
I won't go into detail as I am just trying to figure out the methodology of this problem. Having said that:
I have 3 inputs. These 3 inputs are connected to a hidden layer of 3 other nodes and then a single output node.
Each node of ABC is connected to each node of DEF and each DEF is connected to G:
A D
B E G
C F
Each connection has an associated weight and there is a transfer function f(x) between each node. There is also a bias at DEF and G but not ABC.
Homework Equations
The Attempt at a Solution
So, I believe if I want to calculate the value of D I should do the following:
##D = (f(x_A)W_{AD})+(f(x_B)W_{BD})+(f(x_C)W_{CD})+Bias_D##
That is the result of the function from input A times the weight from A to D plus the same from B and C. And then at the end the bias value associated with D.
I should do this for E and F in the same manner with the correct weights. Then, for G, I take the results of D, E and F and perform the same again to get the final result.
Is this the correct method?