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Course 40420
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If the prior probabilities for the groups are different, which of these happens in the linear discriminant model fit?
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These are the coefficients from a fitted neural network model, with 4 input variables and 2 nodes in the hidden layer.
[[1]]
[,1] [,2]
[1,] 0.62 1.333
[2,] 0.19 -0.016
[3,] -0.17 -0.304
[4,] -0.89 -0.366
[[2]]
[1] 0.127 -0.095
[[3]]
[,1] [,2] [,3]
[1,] -0.16 1.5 -1.92
[2,] -0.75 1.6 0.32
[[4]]
[1] 0.46 -0.94 0.36
If a linear activation function is used, what is the equation of the model at node 1?
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In the following neural network diagram how many parameters would need to be estimated?
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In the following neural network diagram how many nodes are there in the hidden layer?