分布式深度学习平台，Apache SINGA 0.2.0 发布
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。
Apache SINGA 0.2.0 发布，此版本主要更新内容如下：-
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.
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)