/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
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* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
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package org.encog.neural.networks.training.propagation.sgd.update;
import org.encog.neural.flat.FlatNetwork;
import org.encog.neural.networks.training.propagation.sgd.StochasticGradientDescent;
/**
* Created by jeffh on 7/15/2016.
*/
public interface UpdateRule {
void init(StochasticGradientDescent training);
void update(double[] gradients, double[] weights);
}