新闻 Apache SINGA 0.2.0 发布，分布式深度学习平台 下载

Apache SINGA 0.2.0 发布，此版本主要更新内容如下：

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  Training on GPU enables training of complex models on a single node with multiple GPU cards.
  
  
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  Hybrid neural net partitioning supports data and model parallelism at the same time.
  
  
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  Python wrapper makes it easy to configure the job, including neural net and SGD algorithm.
  
  
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  RNN model and BPTT algorithm are implemented to support applications based on RNN models, e.g., GRU.
  
  
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  Cloud software integration includes Mesos, Docker and HDFS.
  
  
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  Visualization of neural net structure and layer information, which is helpful for debugging.
  
  
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  Linear algebra functions and random functions against Blobs and raw data pointers.
  
  
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  New layers, including SoftmaxLayer, ArgSortLayer, DummyLayer, RNN layers and cuDNN layers.
  
  
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  Update Layer class to carry multiple data/grad Blobs.
  
  
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  Extract features and test performance for new data by loading previously trained model parameters.
  
  
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  Add Store class for IO operations.
  

Apache SINGA 是 Apache 在 2015 年 3 月 17 日接纳的一个孵化项目，是个分布式深度学习平台。

SINGA 是基于大型数据集训练大型深度学习模块的常规分布式学习平台。SINGA 支持各种流行的深度学习模块，其中的 feed-forward 模块包括 convolutional neural networks (CNN)，能量模块 restricted Boltzmann machine (RBM) 和 recurrent neural networks (RNN)。

SGD 流：



SINGA 概览：



外部依赖：

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  glog (New BSD)
  
  
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  google-protobuf (New BSD)
  
  
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  openblas (New BSD)
  
  
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  zeromq (LGPLv3 + static link exception)
  
  
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  czmq (Mozilla Public License Version 2.0)
  
  
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  zookeeper (Apache 2.0)
  

Apache SINGA 0.2.0 发布，分布式深度学习平台下载地址