Description Usage Arguments Examples
View source: R/modelFunctions.R
Main function for multilayer NN estimation. Binary choice as output layer. Hidden layers use 'relu', output layer is 'sigmoid'
1 2 | L_layer_model(X, Y, layers_dims, learning_rate = 0.0075,
num_iterations = 3000, print_cost = F)
|
X |
matrix of features. Each column represents one training example |
Y |
matrix (1 x m) of true responses |
layers_dims |
structure of the model |
learning_rate |
spcecify the learning rate for gradient descent |
num_iterations |
number of iterations for gradient descent |
print_cost |
boolean, whether or not to print cost |
1 2 3 4 5 6 |
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