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Java example source code file (LayerFactory.java)

This example Java source code file (LayerFactory.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

collection, indarray, layerfactory, paraminitializer, util

The LayerFactory.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 java.util.Collection;

import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.optimize.api.IterationListener;
import org.nd4j.linalg.api.ndarray.INDArray;

/**
 *
 * Common interface for creating neural network layers.
 *
 *
 * @author Adam Gibson
 */
public interface LayerFactory {

    /**
     *
     * Create a layer based on the based in configuration
     * @param conf the configuration to create the layer based on
     * @param iterationListeners the list of iterations listners
     * @param index the layer number
     * @param layerParamsView An array where the parameters are stored, in flattened order
     * @param initializeParams if true: initialize the parameter values (in layerParamsView) using the parameter initializer.
     *                         If false: make no changes to the values in layerParamsView
     * @return the created layer
     */
    <E extends Layer> E create(NeuralNetConfiguration conf, Collection iterationListeners, int index,
                               INDArray layerParamsView, boolean initializeParams);


    /**
     * Get the param initializer used for initializing layers
     * @return the param initializer
     */
    ParamInitializer initializer();



}

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