Apache SINGA 0.2.0 发布，分布式深度学习平台
欢迎加入运维网交流群：263444886Apache 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.
[*] Hybrid neural net partitioning supports data and model parallelism at the same time.
[*] Python wrapper makes it easy to configure the job, including neural net and SGD algorithm.
[*] RNN model and BPTT algorithm are implemented to support applications based on RNN models, e.g., GRU.
[*] Cloud software integration includes Mesos, Docker and HDFS.
[*] Visualization of neural net structure and layer information, which is helpful for debugging.
[*] Linear algebra functions and random functions against Blobs and raw data pointers.
[*] New layers, including SoftmaxLayer, ArgSortLayer, DummyLayer, RNN layers and cuDNN layers.
[*]
Update Layer>
[*] Extract features and test performance for new data by loading previously trained model parameters.
[*]
Add Store>
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：
[*] glog (New BSD)
[*] google-protobuf (New BSD)
[*] openblas (New BSD)
[*] zeromq (LGPLv3 + static link exception)
[*] czmq (Mozilla Public License Version 2.0)
[*] zookeeper (Apache 2.0)
页:
[1]