The Apache SINGA (incubating) team is pleased to announce the release of SINGA 0.3.0.
SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. SINGA supports a wide variety of popular deep learning models. The release is available at: http://singa.apache.org/downloads.html The major features of this release include: - Training on GPU cluster enables training of deep learning models over a GPU cluster. - Improve Python wrapper. - New SGD updaters are added, including Adam, AdaDelta and AdaMax. - Remove dependency on some libraries for single node training. - Enable heterogeneous training with CPU and GPU. - Support cuDNN V4. We look forward to hearing your feedbacks, suggestions, and contributions to the project (http://singa.apache.org/develop/schedule.html). Regards, The Apache SINGA (incubating) team ==== *Disclaimer* Apache SINGA is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the name of Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.