We are pleased to announce that Apache SINGA (incubating) 0.1.0 is released.
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 main features of this release include - Both synchronous and asynchronous distributed training frameworks are supported, e.g., Hogwild!, AllReduce, Downpour, etc. - All three categories of popular deep learning models are supported, namely, feed-forward neural networks (e.g., CNN, MLP), recurrent neural networks and energy models (e.g, RBM). - Amazon EC2 image and GNU installation tool are provided for users to get started easily We look forward to hearing your feedbacks, suggestions, and contributions to the project. Features for the next version will include - Mesos and Docker integration - Single node with Multi-GPU - Configuration helper and Python Binding - Model partitioning/parallelism On behalf of the SINGA team, Wei Wang
