def build_model(self):
model = build_1layer_perceptron(
params["num_neurons_p"], params["learning_rate_p"], params["momentum_p"], params["l2_reg_p"]
)
return model
def build_model(self):
l2_reg = params["l2_reg"] if args.with_l2_regularization else 0.0
model = build_1layer_perceptron(round(params["num_neurons"]),
params["learning_rate"], 0.0,
l2_reg)
return model