#Apache SINGA

Distributed deep learning system

##Project Website

All the details can be found in Project Website, including the following instructions.

##Mailing Lists

• Development Mailing List(Archive)
• Commits Mailing List(Archive)

##Dependencies The current code depends on the following external libraries:

• 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)
• lmdb (OpenLDAP)

##Documentation

Full documentation is available online at Official Documentation.

##Building SINGA

$ ./autogen.sh
$ ./configure
$ make

##Running Examples

Let us train the CNN model over the CIFAR-10 dataset without parallelism as an example. The hyper-parameters are set following cuda-convnet. More details about this example are available at CNN example.

First, download the dataset and create data shards:

$ cd examples/cifar10/
$ make download
$ make create

Next, start the training:

$ cd ../../
	$ ./bin/singa-run.sh -conf examples/cifar10/job.conf

Now we just need to wait until it is done!

##LICENSE

Apache Singa is licensed under the Apache License, Version 2.0.

For additional information, see the LICENSE and NOTICE files.