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Java example source code file (GRU.java)
The GRU.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.layers; import lombok.AllArgsConstructor; import lombok.Data; import lombok.EqualsAndHashCode; import lombok.NoArgsConstructor; import lombok.ToString; /** Gated Recurrent Unit RNN Layer.<br> * The GRU was recently proposed by Cho et al. 2014 - http://arxiv.org/abs/1406.1078<br> * It is similar to the LSTM architecture in that both use a gating structure within each unit * to attempt to capture long-term dependencies and deal with the vanishing gradient problem. * A GRU layer contains fewer parameters than an equivalent size LSTM layer, and some research * (such as http://arxiv.org/abs/1412.3555) suggests it may outperform LSTM layers (given an * equal number of parameters) in some cases. * @author Alex Black */ @Data @NoArgsConstructor @ToString(callSuper = true) @EqualsAndHashCode(callSuper = true) public class GRU extends BaseRecurrentLayer { private GRU(Builder builder) { super(builder); } @AllArgsConstructor public static class Builder extends BaseRecurrentLayer.Builder<Builder> { @Override @SuppressWarnings("unchecked") public GRU build() { return new GRU(this); } } } Other Java examples (source code examples)Here is a short list of links related to this Java GRU.java source code file: |
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