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