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Java example source code file (InputPreProcessor.java)
The InputPreProcessor.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.conf; import com.fasterxml.jackson.annotation.JsonSubTypes; import com.fasterxml.jackson.annotation.JsonTypeInfo; import org.deeplearning4j.nn.api.Layer; import org.deeplearning4j.nn.conf.preprocessor.*; import org.nd4j.linalg.api.ndarray.INDArray; import java.io.Serializable; /** * Input pre processor used * for pre processing input before passing it * to the neural network. * * @author Adam Gibson */ @JsonTypeInfo(use= JsonTypeInfo.Id.NAME, include= JsonTypeInfo.As.WRAPPER_OBJECT) @JsonSubTypes(value={ @JsonSubTypes.Type(value = CnnToFeedForwardPreProcessor.class, name = "cnnToFeedForward"), @JsonSubTypes.Type(value = CnnToRnnPreProcessor.class, name = "cnnToRnn"), @JsonSubTypes.Type(value = ComposableInputPreProcessor.class, name = "composableInput"), @JsonSubTypes.Type(value = FeedForwardToCnnPreProcessor.class, name = "feedForwardToCnn"), @JsonSubTypes.Type(value = FeedForwardToRnnPreProcessor.class, name = "feedForwardToRnn"), @JsonSubTypes.Type(value = RnnToFeedForwardPreProcessor.class, name = "rnnToFeedForward"), @JsonSubTypes.Type(value = RnnToCnnPreProcessor.class, name = "rnnToCnn"), @JsonSubTypes.Type(value = BinomialSamplingPreProcessor.class, name = "binomialSampling"), @JsonSubTypes.Type(value = ReshapePreProcessor.class, name = "reshape"), @JsonSubTypes.Type(value = UnitVarianceProcessor.class, name = "unitVariance"), @JsonSubTypes.Type(value = ZeroMeanAndUnitVariancePreProcessor.class, name = "zeroMeanAndUnitVariance"), @JsonSubTypes.Type(value = ZeroMeanPrePreProcessor.class, name = "zeroMean"), }) public interface InputPreProcessor extends Serializable, Cloneable { /** * Pre preProcess input/activations for a multi layer network * @param input the input to pre preProcess * @param miniBatchSize * @return the processed input */ INDArray preProcess(INDArray input, int miniBatchSize); /**Reverse the preProcess during backprop. Process Gradient/epsilons before * passing them to the layer below. * @param output which is a pair of the gradient and epsilon * @param miniBatchSize * @return the reverse of the pre preProcess step (if any) */ INDArray backprop(INDArray output, int miniBatchSize); InputPreProcessor clone(); } Other Java examples (source code examples)Here is a short list of links related to this Java InputPreProcessor.java source code file: |
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