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Java example source code file (ParamInitializer.java)

This example Java source code file (ParamInitializer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

indarray, map, neuralnetconfiguration, paraminitializer, util

The ParamInitializer.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,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
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    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
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.nn.api;

import org.canova.api.conf.Configuration;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.nd4j.linalg.api.ndarray.INDArray;

import java.util.Map;

/**
 * Param initializer for a layer
 *
 * @author Adam Gibson
 */
public interface ParamInitializer {

    int numParams(NeuralNetConfiguration conf, boolean backprop);

    /**
     * Initialize the parameters
     *
     * @param paramsMap        the map (initially empty) that will contain a view of the 'paramsView' array
     * @param conf             the configuration
     * @param paramsView       a view of the full network (backprop) parameters
     * @param initializeParams if true: initialize the parameters according to the configuration. If false: don't modify the
     *                         values in the paramsView array (but do select out the appropriate subset, reshape etc as required)
     */
    void init(Map<String, INDArray> paramsMap, NeuralNetConfiguration conf, INDArray paramsView, boolean initializeParams);

    /**
     * Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.
     * The idea is that operates in exactly the same way as the the paramsView does in {@link #init(Map, NeuralNetConfiguration, INDArray)};
     * thus the position in the view (and, the array orders) must match those of the parameters
     *
     * @param conf         Configuration
     * @param gradientView The flattened gradients array, as a view of the larger array
     * @return A map containing an array by parameter type, that is a view of the full network gradients array
     */
    Map<String, INDArray> getGradientsFromFlattened(NeuralNetConfiguration conf, INDArray gradientView);

}

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