Weights-class {TeachNet}

Weights objects

Description

Contains the weights for a one hidden layer neural network in TeachNet the here cold "Arguments" are the slots in the S4 class Weights

Arguments

alpha

Intercept from output layer

alpha_h

Intercept from hidden layer

w_h

Weights from hidden layer to output layer

w_ih

Weights from input layer to hidden layer

Author(s)

Georg Steinbuss

See Also

Weights2-class

Examples

H <- 3 # number of neurons in hidden layer
I <- 6 # number of inputs

random_weights <- new("Weights", alpha = rnorm(1), alpha_h = rnorm(H), w_h = rnorm(H), 
                      w_ih = matrix(nrow=I,ncol=H, data=rnorm(I*H)))