Modified: websites/staging/singa/trunk/content/docs/kr/distributed-training.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/distributed-training.html (original) +++ websites/staging/singa/trunk/content/docs/kr/distributed-training.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – ë¶ì° í¸ë ì´ë</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" />
Modified: websites/staging/singa/trunk/content/docs/kr/docker.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/docker.html (original) +++ websites/staging/singa/trunk/content/docs/kr/docker.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Building SINGA Docker container</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/examples.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/examples.html (original) +++ websites/staging/singa/trunk/content/docs/kr/examples.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Example Models</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/frameworks.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/frameworks.html (original) +++ websites/staging/singa/trunk/content/docs/kr/frameworks.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Distributed Training Framework</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/index.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/index.html (original) +++ websites/staging/singa/trunk/content/docs/kr/index.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – ìµì 문ì</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/installation.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/installation.html (original) +++ websites/staging/singa/trunk/content/docs/kr/installation.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – ì¸ì¤í¨</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/installation_source.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/installation_source.html (original) +++ websites/staging/singa/trunk/content/docs/kr/installation_source.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Building SINGA from source</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/layer.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/layer.html (original) +++ websites/staging/singa/trunk/content/docs/kr/layer.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Layers</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/lmdb.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/lmdb.html (original) +++ websites/staging/singa/trunk/content/docs/kr/lmdb.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – </title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/mesos.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/mesos.html (original) +++ websites/staging/singa/trunk/content/docs/kr/mesos.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Distributed Training on Mesos</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/mlp.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/mlp.html (original) +++ websites/staging/singa/trunk/content/docs/kr/mlp.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – MLP Example</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/model-config.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/model-config.html (original) +++ websites/staging/singa/trunk/content/docs/kr/model-config.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Model Configuration</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/neural-net.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/neural-net.html (original) +++ websites/staging/singa/trunk/content/docs/kr/neural-net.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Neural Net</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> @@ -312,7 +312,7 @@ <h1>Neural Net</h1> <hr /> <p><tt>NeuralNet</tt> in SINGA represents an instance of user’s neural net model. As the neural net typically consists of a set of layers, <tt>NeuralNet</tt> comprises a set of unidirectionally connected <a href="layer.html">Layer</a>s. This page describes how to convert an user’s neural net into the configuration of <tt>NeuralNet</tt>.</p> -<p><img src="../images/model-category.png" align="center" width="200px" alt="" /> <span><b>Figure 1 - Categorization of popular deep learning models.</b></span></p> +<p><img src="../../images/model-category.png" align="center" width="200px" alt="" /> <span><b>Figure 1 - Categorization of popular deep learning models.</b></span></p> <div class="section"> <h2><a name="Net_structure_configuration"></a>Net structure configuration</h2> <p>Users configure the <tt>NeuralNet</tt> by listing all layers of the neural net and specifying each layer’s source layer names. Popular deep learning models can be categorized as Figure 1. The subsequent sections give details for each category.</p> @@ -320,7 +320,7 @@ <h3><a name="Feed-forward_models"></a>Feed-forward models</h3> <div align="left"> -<img src="../images/mlp-net.png" align="center" width="200px" alt="" /> +<img src="../../images/mlp-net.png" align="center" width="200px" alt="" /> <span><b>Figure 2 - Net structure of a MLP model.</b></span> </div> <p>Feed-forward models, e.g., CNN and MLP, can easily get configured as their layer connections are undirected without circles. The configuration for the MLP model shown in Figure 1 is as follows,</p> @@ -356,7 +356,7 @@ </pre></div></div></div> <div class="section"> <h3><a name="Energy_models"></a>Energy models</h3> -<p><img src="../images/rbm-rnn.png" align="center" width="500px" alt="" /> <span><b>Figure 3 - Convert connections in RBM and RNN.</b></span></p> +<p><img src="../../images/rbm-rnn.png" align="center" width="500px" alt="" /> <span><b>Figure 3 - Convert connections in RBM and RNN.</b></span></p> <p>For energy models including RBM, DBM, etc., their connections are undirected (i.e., Category B). To represent these models using <tt>NeuralNet</tt>, users can simply replace each connection with two directed connections, as shown in Figure 3a. In other words, for each pair of connected layers, their source layer field should include each other’s name. The full <a href="rbm.html">RBM example</a> has detailed neural net configuration for a RBM model, which looks like</p> <div class="source"> Modified: websites/staging/singa/trunk/content/docs/kr/neuralnet-partition.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/neuralnet-partition.html (original) +++ websites/staging/singa/trunk/content/docs/kr/neuralnet-partition.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Neural Net Partition</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/overview.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/overview.html (original) +++ websites/staging/singa/trunk/content/docs/kr/overview.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – ê°ì</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> @@ -311,7 +311,7 @@ <h1>개요</h1> <hr /> -<p>SINGA는 대규모 데이터 분석을 위한 딥러닝 모델의 트레이닝을 목적으로 한 “분산 딥러닝 플랫폼” 입니다. 모델이 되는 뉴럴네트워크의 “레이어” 개념에 따라 직관적으로 프로그래밍을 할 수 있도록 디자인되어 있습니다.</p> +<p>SINGA는 대규모 데이터 분석을 위한 딥러닝 모델의 트레이닝을 목적으로 한 “분산 딥러닝 플랫폼” 입니다. 모델이 되는 뉴럴네트워크의 “Layer” 개념에 따라서 직관적인 프로그래밍을 할 수 있도록 디자인되어 있습니다.</p> <ul> @@ -319,7 +319,7 @@ <p>Convolutional Neural Network 와 같은 피드포워드 네트워크와 Restricted Boltzmann Machine 과 같은 에너지 모델, Recurrent Neural Network 모델 등 다양한 모델을 지원합니다.</p></li> <li> -<p>다양한 “레이어”가 Built-in Layer로 준비되어 있습니다.</p></li> +<p>다양한 기능을 가지는 “Layer”들이 Built-in Layer 로 준비되어 있습니다.</p></li> <li> <p>SINGA 아키텍처는 synchronous (동기), asynchronous (비동기), 그리고 hybrid (하이브리드) 트레이닝을 할 수 있도록 설계되어 있습니다.</p></li> @@ -337,17 +337,27 @@ <p>SINGA는 딥러닝 모델의 네트워크 “레이어” 개념에 따라 직관적으로 프로그래밍을 할 수 있도록 디자인되어 있습니다. 다양한 모델을 쉽게 구축하고 트레이닝 할 수 있습니다.</p></div> <div class="section"> <h2><a name="a_"></a>시스템 개요</h2> -<p><img src="../../images/sgd.png" align="center" width="400px" alt="" /> <span> <b> Figure 1 - SGD 흐름 </b> </span></p> -<p>“딥러닝 모델을 학습한다”는 것은 특정 작업 (분류, 예측 등)을 달성하기 위해 사용되는 특징량(feature)을 생성하는 변환 함수의 최적의 파라미터를 찾는 것입니다. 변수의 좋고 나쁨은, Cross-Entropy Loss (<a class="externalLink" href="https://en.wikipedia.org/wiki/Cross_entropy";>https://en.wikipedia.org/wiki/Cross_entropy</a>) 등의 loss function (손실 함수)에서 확인합니다. 이 함수는 일반적으로 비선형 또는 비 &# xbcfc;록 함수이므로 閉解을 찾기가 어렵습니다.</p> -<p>그래서 Stochastic Gradient Descent (확률적구배강하법)을 이용합니다. Figure 1과 같이 무작위로 초기화 된 매개 변수의 값을 손실 함수가 작아 지도록 반복 업데이트하고 있습니다.</p> +<p><img src="../../images/sgd.png" align="center" width="400px" alt="" /> <span> <b> Figure 1 - SGD Flow </b> </span></p> +<p>“딥러닝 모델을 학습한다”는 것은 특정 작업(분류, 예측 등)을 달성하기 위하여 사용되는 특징량(feature)을 생성하는 변환 함수의 최적 파라미터를 찾는 것입니다. 그 변수의 좋고 나쁨은, Cross-Entropy Loss (<a class="externalLink" href="https://en.wikipedia.org/wiki/Cross_entropy";>https://en.wikipedia.org/wiki/Cross_entropy</a>) 등의 loss function (손실 함수)으로 확인합니다. 이 함수는 일반적으로 비선형 또는 &#x be44; 볼록 함수이므로 閉解을 찾기가 힘듭니다.</p> +<p>그래서 Stochastic Gradient Descent (확률적구배강하법)을 이용합니다. Figure 1과 같이 무작위로 초기화 된 파라미터 값을 손실 함수가 작아 지도록 반복 업데이트하고 있습니다.</p> <p><img src="../../images/overview.png" align="center" width="400px" alt="" /> <span> <b> Figure 2 - SINGA 개요 </b> </span></p> -<p>트레이닝에 필요한 워크로드는 workers와 servers에 분산됩니다. Figure 2와 같이 루프마다 workers는 <i>TrainOneBatch</i> 함수를 호출 매개 변수 기울기를 계산합니다. <i>TrainOneBatch</i> 신경망의 구조가 기술 된 <i>NeuralNet</i> 개체에 따라 “레이어”를 차례로 둘러보고 있습니다. 계산 된 경사는 로컬 노드의 stub에 보내져 집계 된 후 해당 servers에 보내집니다. Servers² 94; 업데이트 된 매개 변수를 workers로 전송 다음 루프를 실행합니다.</p></div> +<p>트레이닝에 필요한 워크로드는 workers 와 servers 에 분산됩니다. Figure 2와 같이 루프(iteration)마다 workers 는 <i>TrainOneBatch</i> 함수를 불러서 파라미터 구배를 계산합니다. <i>TrainOneBatch</i> 는 뉴럴네트워크의 구조가 기술 된 <i>NeuralNet</i> 정보에 따라서 “Layer”를 차례로 둘러봅니다. 계산 된 구배는 로컬노드의 stub 에 보내져 집계 된 후, 해당 servers 에 전송됩니다. Servers 는 업데이트 된 파라미터 값을 workers 한테 되돌려주고, 다음 루프(iteration)를 진행합니다.</p></div> <div class="section"> <h2><a name="Job"></a>Job</h2> -<p>SINGA에서 “Job”은 뉴럴네트워크 모델과 데이터 트레이닝 방법, 클러스터 토폴로지 등이 기술 된 “Job Configuration”을 말합니다. Job configuration은 Figure 2에 그려진 다음의 4 가지 요소를 가집니다.</p> -<p>  * <a href="neural-net.html">NeuralNet</a> : 뉴럴네트워크의 구조와 각 “레이어”의 설정을 기술합니다.   * <a href="train-one-batch.html">TrainOneBatch</a> : 모델 카테고리에 적합한 알고리즘을 기술합니다.   * <a href="updater.html">Updater</a> : server에서 매개 변수를 업데이트하는 방법을 기술합니다.   * <a href="distributed-training.html">Cluster Topology</a> : workers와 servers 분산 토폴로지를 기술합니다.</p> -<p><a href="programming-guide.html">main 함수</a>의 SINGA 드라이버로 작업을 전달합니다.</p> -<p>이 프로세스는 Hadoop에서의 Job 서브미션과 비슷합니다. 유저가 main 함수에서 작업 설정을 합니다. Hadoop 유저는 자신의 mapper와 reducer를 설정하지만 SINGA 에서는 유저의 “레이어”나 Updater 등을 설정합니다.</p></div> +<p>SINGA에서 “Job”이란 뉴럴네트워크 모델과 데이터 트레이닝 방법, 클러스터 토폴로지 등이 기술 된 “Job Configuration”을 말합니다. Job configuration 은 Figure 2에 그려진 다음의 4가지 요소를 가집니다.</p> + +<ul> + +<li><a href="neural-net.html">NeuralNet</a> : 뉴럴네트워크의 구조와 각 “레이어”의 설정을 기술합니다.</li> + +<li><a href="train-one-batch.html">TrainOneBatch</a> : 모델 카테고리에 적합한 알고리즘을 기술합니다.</li> + +<li><a href="updater.html">Updater</a> : server에서 매개 변수를 업데이트하는 방법을 기술합니다.</li> + +<li><a href="distributed-training.html">Cluster Topology</a> : workers와 servers 분산 토폴로지를 기술합니다.</li> +</ul> +<p><a href="programming-guide.html">main 함수</a>의 SINGA 드라이버를 써서 Job 을 넘깁니다.</p> +<p>이 프로세스는 Hadoop에서의 Job 서브미션과 비슷합니다. 유저가 main 함수에서 작업 설정을 합니다. Hadoop 유저는 자신의 mapper와 reducer를 설정하지만 SINGA 에서는 유저의 Layer 나 Updater 등을 설정합니다.</p></div> </div> </div> </div> Modified: websites/staging/singa/trunk/content/docs/kr/param.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/param.html (original) +++ websites/staging/singa/trunk/content/docs/kr/param.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Parameters</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/programmer-guide.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/programmer-guide.html (original) +++ websites/staging/singa/trunk/content/docs/kr/programmer-guide.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – Programmer Guide</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> Modified: websites/staging/singa/trunk/content/docs/kr/programming-guide.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/programming-guide.html (original) +++ websites/staging/singa/trunk/content/docs/kr/programming-guide.html Thu Jan 21 03:58:18 2016 @@ -1,15 +1,15 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> - <title>Apache SINGA – Programming Guide</title> + <title>Apache SINGA – íë¡ê·¸ëë° ê°ì´ë</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> <link rel="stylesheet" href="../../css/site.css" /> <link rel="stylesheet" href="../../css/print.css" media="print" /> @@ -177,7 +177,7 @@ Apache SINGA</a> <span class="divider">/</span> </li> - <li class="active ">Programming Guide</li> + <li class="active ">íë¡ê·¸ëë° ê°ì´ë</li> @@ -309,24 +309,24 @@ <div id="bodyColumn" class="span10" > - <h1>Programming Guide</h1> + <h1>프로그래밍 가이드</h1> <hr /> -<p>To submit a training job, users must provide the configuration of the four components shown in Figure 1:</p> +<p>Figure 1에 그려진 다음과 같은 4가지 Components 를 설정하여 트레이닝을 시작합니다.</p> <ul> -<li>a <a href="neural-net.html">NeuralNet</a> describing the neural net structure with the detailed layer setting and their connections;</li> +<li><a href="neural-net.html">NeuralNet</a> : 뉴럴네트워크의 구조와 각 “레이어”의 설정을 기술합니다.</li> -<li>a <a href="train-one-batch.html">TrainOneBatch</a> algorithm which is tailored for different model categories;</li> +<li><a href="train-one-batch.html">TrainOneBatch</a> : 모델 카테고리에 적합한 알고리즘을 기술합니다.</li> -<li>an <a href="updater.html">Updater</a> defining the protocol for updating parameters at the server side;</li> +<li><a href="updater.html">Updater</a> : server에서 매개 변수를 업데이트하는 방법을 기술합니다.</li> -<li>a <a href="distributed-training.html">Cluster Topology</a> specifying the distributed architecture of workers and servers.</li> +<li><a href="distributed-training.html">Cluster Topology</a> : workers와 servers 분산 토폴로지를 기술합니다.</li> </ul> <p>The <i>Basic user guide</i> section describes how to submit a training job using built-in components; while the <i>Advanced user guide</i> section presents details on writing user’s own main function to register components implemented by themselves. In addition, the training data must be prepared, which has the same <a href="data.html">process</a> for both advanced users and basic users.</p> -<p><img src="../../images/overview.png" align="center" width="400px" alt="" /> <span><b>Figure 1 - SINGA overview.</b></span></p> +<p><img src="../../images/overview.png" align="center" width="400px" alt="" /> <span><b>Figure 1 - SINGA 개요 </b></span></p> <div class="section"> -<h2><a name="Basic_user_guide"></a>Basic user guide</h2> +<h2><a name="Basic__"></a>Basic 유저 가이드</h2> <p>Users can use the default main function provided SINGA to submit the training job. For this case, a job configuration file written as a google protocol buffer message for the <a href="../api/classsinga_1_1JobProto.html">JobProto</a> must be provided in the command line,</p> <div class="source"> @@ -334,7 +334,7 @@ </pre></div></div> <p><tt>-resume</tt> is for continuing the training from last <a href="checkpoint.html">checkpoint</a>. The <a href="mlp.html">MLP</a> and <a href="cnn.html">CNN</a> examples use built-in components. Please read the corresponding pages for their job configuration files. The subsequent pages will illustrate the details on each component of the configuration.</p></div> <div class="section"> -<h2><a name="Advanced_user_guide"></a>Advanced user guide</h2> +<h2><a name="Advanced__"></a>Advanced 유저 가이드</h2> <p>If a user’s model contains some user-defined components, e.g., <a href="updater.html">Updater</a>, he has to write a main function to register these components. It is similar to Hadoop’s main function. Generally, the main function should</p> <ul> @@ -346,9 +346,9 @@ <p>register user-defined components.</p></li> <li> -<p>create and pass the job configuration to SINGA driver</p></li> +<p>create and pass the job configuration to SINGA driver </p></li> </ul> -<p>An example main function is like</p> +<p>main 함수의 샘플입니다.</p> <div class="source"> <div class="source"><pre class="prettyprint">#include "singa.h" Modified: websites/staging/singa/trunk/content/docs/kr/quick-start.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/quick-start.html (original) +++ websites/staging/singa/trunk/content/docs/kr/quick-start.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; xml:lang="en" lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> - <meta name="Date-Revision-yyyymmdd" content="20160118" /> + <meta name="Date-Revision-yyyymmdd" content="20160121" /> <meta http-equiv="Content-Language" content="en" /> <title>Apache SINGA – íµ ì¤íí¸</title> <link rel="stylesheet" href="../../css/apache-maven-fluido-1.4.min.css" /> @@ -318,57 +318,130 @@ <h3><a name="Zookeeper_"></a>Zookeeper 실행</h3> <p>SINGA 트레이닝은 <a class="externalLink" href="https://zookeeper.apache.org/";>zookeeper</a>를 이용합니다. 우선 zookeeper 서비스가 시작되어 있는지 확인하십시오.</p> <p>준비된 thirdparty 스크립트를 사용하여 zookeeper를 설치 한 경우 다음 스크립트를 실행하십시오.</p> -<p>    #goto top level folder     cd SINGA_ROOT     ./bin/zk-service.sh start</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">#goto top level folder +cd SINGA_ROOT +./bin/zk-service.sh start +</pre></div></div> <p>(<tt>./bin/zk-service.sh stop</tt> // zookeeper 중지).</p> -<p>기본 포트를 사용하지 않고 zookeeper를 시작시킬 때 <tt>conf/singa.conf</tt>을 편집하십시오.</p> -<p>    zookeeper_host : “localhost : YOUR_PORT”</p></div></div> +<p>기본 포트를 사용하지 않고 zookeeper를 시작시킬 때는 <tt>conf/singa.conf</tt>을 편집하십시오.</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">zookeeper_host : "localhost : YOUR_PORT" +</pre></div></div></div></div> <div class="section"> -<h2><a name="a__"></a>독립형 모드에서 실행</h2> -<p>독립형 모드에서 SINGA을 실행할 때, <a class="externalLink" href="http://mesos.apache.org/";>Mesos</a>와 [YARN](<a class="externalLink" href="http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-";>http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-</a> yarn-site / YARN.html)과 같은 클러스터 관리자 이용하지 않는 경우를 말합니다.</p> +<h2><a name="Stand-alone__"></a>Stand-alone 모드에서 실행</h2> +<p>Stand-alone 모드에서 SINGA을 실행할 때, <a class="externalLink" href="http://mesos.apache.org/";>Mesos</a> 와 <a class="externalLink" href="http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html";>YARN</a> 과 같은 클러스터 관리툴을 이용하지 않는 경우를 말합니다.</p> <div class="section"> -<h3><a name="Single__"></a>Single 노드에서의 훈련</h3> -<p>하나의 프로세스가 출시됩니다. 예를 들어, <a class="externalLink" href="http://www.cs.toronto.edu/~kriz/cifar.html";>CIFAR-10</a> 데이터 세트를 이용하여 <a class="externalLink" href="http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks";>CNN 모델</a>을 트레이닝시킵니다. 하이퍼 파라미터는 <a class="externalLink" href="https://code.google.com/p/cuda-convnet/";>cuda-convnet</a>에 따라 설정되어 있습니다. 자세한 내용은 <a href="cnn.html">CNN 샘플</a> 페이지를 참조하십시오.</p> +<h3><a name="Single__"></a>Single 노드에서의 트레이닝</h3> +<p>하나의 프로세스가 시작됩니다. 예를 들어, <a class="externalLink" href="http://www.cs.toronto.edu/~kriz/cifar.html";>CIFAR-10</a> 데이터 세트를 이용하여 <a class="externalLink" href="http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks";>CNN 모델</a>을 트레이닝 시킵니다. 하이퍼 파라미터는 <a class="externalLink" href="https://code.google.com/p/cuda-convnet/";>cuda-convnet</a>에 따라 설정되어 있습니다. 자세한 내용은 <a href="cnn.html">CNN 샘플</a> 페이지를 참조하십시오.</p> <div class="section"> <h4><a name="a__"></a>데이터와 작업 설정</h4> -<p>데이터 세트 다운로드와 Triaing이나 Test를위한 데이터 샤드의 생성은 다음과 같이 실시합니다.</p> -<p>    cd examples/cifar10/     cp Makefile.example Makefile     make download     make create</p> -<p>Training과 Test 데이터 세트는 각각 <i>cifar10-train-shard</i> 그리고 <i>cifar10-test-shard</i> 폴더에 만들어집니다. 모든 이미지의 특징 평균을 기술한 <i>image_mean.bin</i> 파일도 생성됩니다.</p> -<p>CNN 모델 학습에 필요한 소스 코드는 모두 SINGA에 포함되어 있습니다. 코드를 추가 할 필요는 없습니다. 작업 설정 파일 (<i>job.conf</i>) 을 지정하여 스크립트 (<i>../../bin/singa-run.sh</i>)를 실행합니다. SINGA 코드를 변경하거나 추가 할 때는, 프로그래밍 가이드 (programming-guide.html)를 참조하십시오.</p></div> +<p>데이터 세트 다운로드와 Triaing 이나 Test 를 위한 데이터 샤드의 생성은 다음과 같이 실시합니다.</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">cd examples/cifar10/ +cp Makefile.example Makefile +make download +make create +</pre></div></div> +<p>Training 과 Test 데이터 세트는 각각 <i>cifar10-train-shard</i> 그리고 <i>cifar10-test-shard</i> 폴더에 만들어집니다. 모든 이미지의 특징 평균을 기술한 <i>image_mean.bin</i> 파일도 함께 생성됩니다.</p> +<p>CNN 모델 트레이닝에 필요한 소스코드는 모두 SINGA에 포함되어 있습니다. 코드를 추가 할 필요는 없습니다. 작업 설정 파일(<i>job.conf</i>) 을 지정하여 스크립트(<i>../../bin/singa-run.sh</i>)를 실행합니다. SINGA 코드를 변경하거나 추가 할 경우는, 프로그래밍가이드 (programming-guide.html)를 참조하십시오.</p></div> <div class="section"> <h4><a name="a__"></a>병렬화 없이 트레이닝</h4> <p>Cluster Topology의 기본값은 하나의 worker와 하나의 server가 있습니다. 데이터와 모델의 병렬 처리는 되지 않습니다.</p> <p>트레이닝을 시작하기 위하여 다음 스크립트를 실행합니다.</p> -<p>    # goto top level folder     cd ../../     ./bin/singa-run.sh -conf examples/cifar10/job.conf</p> + +<div class="source"> +<div class="source"><pre class="prettyprint"># goto top level folder +cd ../../ +./bin/singa-run.sh -conf examples/cifar10/job.conf +</pre></div></div> <p>현재 실행중인 작업의 리스트를 보려면</p> -<p>    ./bin/singa-console.sh list</p> -<p>    JOB ID | NUM PROCS     ———- | ———–     24 | 1</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">./bin/singa-console.sh list + +JOB ID | NUM PROCS +---------- | ----------- +24 | 1 +</pre></div></div> <p>작업을 종료하려면</p> -<p>    ./bin/singa-console.sh kill JOB_ID</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">./bin/singa-console.sh kill JOB_ID +</pre></div></div> <p>로그 및 작업 정보는 <i>/tmp/singa-log</i> 폴더에 저장됩니다. <i>conf/singa.conf</i> 파일의 <tt>log-dir</tt>에서 변경 가능합니다.</p></div> <div class="section"> <h4><a name="a__"></a>비동기 병렬 트레이닝</h4> -<p>    # job.conf     …     cluster {       nworker_groups : 2       nworkers_per_procs : 2       workspace : “examples/cifar10/”     }</p> -<p>여러 worker 그룹을 실행함으로써 <a href="architecture.html">비동기 트레이닝</a>을 할 수 있습니다. 예를 들어, <i>job.conf</i> 을 위와 같이 변경합니다. 기본적으로 하나의 worker 그룹이 하나의 worker를 갖도록 설정되어 있습니다. 위의 설정은 하나의 프로세스에 2 개의 worker가 설정되어 있기 때문에 2 개의 worker 그룹이 동일한 프로세스로 실행됩니다. 
 cb0;과 인메모리 <a href="frameworks.html">Downpour</a> 트레이닝 프레임워크로 실행됩니다.</p> + +<div class="source"> +<div class="source"><pre class="prettyprint"># job.conf +... +cluster { + nworker_groups : 2 + nworkers_per_procs : 2 + workspace : "examples/cifar10/" +} +</pre></div></div> +<p>여러 worker 그룹을 실행함으로써 <a href="architecture.html">비동기 트레이닝</a>을 할 수 있습니다. 예를 들어, <i>job.conf</i> 을 위와 같이 변경합니다. 기본적으로 하나의 worker 그룹이 하나의 worker를 갖도록 설정되어 있습니다. 위의 설정은 하나의 프로세스에 2개의 worker가 설정되어 있기 때문에 2개의 worker 그룹이 동일한 프로세스로 실행됩니다. ો 0;과 인메모리 <a href="frameworks.html">Downpour</a> 트레이닝 프레임워크로 실행됩니다.</p> <p>사용자는 데이터의 분산을 신경 쓸 필요는 없습니다. 랜덤 오프셋에 따라 각 worker 그룹에 데이터가 보내집니다. 각 worker는 다른 데이터 파티션을 담당합니다.</p> -<p>    # job.conf     …     neuralnet {       layer {         …         sharddata_conf {           random_skip : 5000         }       }       …     }</p> + +<div class="source"> +<div class="source"><pre class="prettyprint"># job.conf +... +neuralnet { + layer { + ... + sharddata_conf { + random_skip : 5000 + } + } + ... +} +</pre></div></div> <p>스크립트 실행 :</p> <p>    ./bin/singa-run.sh -conf examples/cifar10/job.conf</p></div> <div class="section"> <h4><a name="a__"></a>동기화 병렬 트레이닝</h4> -<p>    # job.conf     …     cluster {       nworkers_per_group : 2       nworkers_per_procs : 2       workspace : “examples/cifar10/”     }</p> -<p>하나의 worker 그룹으로 여러 worker를 실행하여 <a href="architecture.html">동기 트레이닝</a>을 수행 할 수 있습니다. 예를 들어, <i>job.conf</i> 파일을 위와 같이 변경합니다. 위의 설정은 하나의 worker 그룹에 2 개의 worker가 설정되었습니다. worker 들은 그룹 내에서 동기화합니다. 이것은 인메모리 <a href="frameworks.html">sandblaster</a>로 실행됩니다. 모델은 2 개의 worker로 분할됩니² e4;. 각 레이어가 2 개의 worker로 분산됩니다. 배분 된 레이어는 원본 레이어와 기능은 같지만 특징 인스턴스의 수가 <tt>B / g</tt> 로 됩니다. 여기서 <tt>B</tt>는 미니밧치 인스턴스의 숫자로 <tt>g</tt>는 그룹의 worker 수 입니다. <a href="neural-net.html">다른 스킴</a>을 이용한 레이어 (뉴럴네트워크) 파티션 방법도 있습니다.</p> + +<div class="source"> +<div class="source"><pre class="prettyprint"># job.conf +... +cluster { + nworkers_per_group : 2 + nworkers_per_procs : 2 + workspace : "examples/cifar10/" +} +</pre></div></div> +<p>하나의 worker 그룹으로 여러 worker를 실행하여 <a href="architecture.html">동기 트레이닝</a>을 수행 할 수 있습니다. 예를 들어, <i>job.conf</i> 파일을 위와 같이 변경합니다. 위의 설정은 하나의 worker 그룹에 2개의 worker가 설정되었습니다. worker 들은 그룹 내에서 동기화합니다. 이것은 인메모리 <a href="frameworks.html">sandblaster</a>로 실행됩니다. 모델은 2개의 worker로 분할됩니다 ;. 각 레이어가 2개의 worker로 분산됩니다. 배분 된 레이어는 원본 레이어와 기능은 같지만 특징 인스턴스의 수가 <tt>B / g</tt> 로 됩니다. 여기서 <tt>B</tt>는 미니밧치 인스턴스의 숫자로 <tt>g</tt>는 그룹의 worker 수 입니다. <a href="neural-net.html">다른 스킴</a>을 이용한 레이어 (뉴럴네트워크) 파티션 방법도 있습니다.</p> <p>다른 설정들은 모두 “병렬화 없음”의 경우와 동일합니다.</p> -<p>    ./bin/singa-run.sh -conf examples/cifar10/job.conf</p></div></div> + +<div class="source"> +<div class="source"><pre class="prettyprint">./bin/singa-run.sh -conf examples/cifar10/job.conf +</pre></div></div></div></div> <div class="section"> <h3><a name="a_"></a>클러스터에서의 트레이닝</h3> <p>클러스터 설정을 변경하여 위 트레이닝 프레임워크를 확장합니다.</p> -<p>    nworker_per_procs : 1</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">nworker_per_procs : 1 +</pre></div></div> <p>모든 프로세스는 하나의 worker 스레드를 생성합니다. 결과 worker 우리는 다른 프로세스 (노드)에서 생성됩니다. 클러스터의 노드를 특정하려면 <i>SINGA_ROOT/conf/</i> 의 <i>hostfile</i> 의 설​​정이 필요합니다.</p> <p>e.g.,</p> -<p>    logbase-a01     logbase-a02</p> + +<div class="source"> +<div class="source"><pre class="prettyprint">logbase-a01 +logbase-a02 +</pre></div></div> <p>zookeeper location도 설정해야합니다.</p> <p>e.g.,</p> -<p>    # conf/singa.conf     zookeeper_host : “logbase-a01”</p> + +<div class="source"> +<div class="source"><pre class="prettyprint"># conf/singa.conf +zookeeper_host : "logbase-a01" +</pre></div></div> <p>스크립트의 실행은 “Single 노드 트레이닝”과 동일합니다.</p> <p>    ./bin/singa-run.sh -conf examples/cifar10/job.conf</p></div></div> <div class="section"> Modified: websites/staging/singa/trunk/content/docs/kr/rbm.html ============================================================================== --- websites/staging/singa/trunk/content/docs/kr/rbm.html (original) +++ websites/staging/singa/trunk/content/docs/kr/rbm.html Thu Jan 21 03:58:18 2016 @@ -1,13 +1,13 @@ <!DOCTYPE html> <!-- - | Generated by Apache Maven Doxia at 2016-01-18 + | Generated by Apache Maven Doxia at 2016-01-21 | Rendered using Apache Maven Fluido Skin 1.4 --> <html xmlns="http://www.w3.org/1999/xhtml"; 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