Dear All, We are pleased to announce that SINGA (incubating) 1.2.0 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/en/downloads.html The downloads page contains ASC signature files and KEYS link with a description on how to use them to verify the artifacts. The main features of this release include: - Implement autograd (currently support MLP model) - Upgrade PySinga to support Python 3 - Improve the Tensor class with the stride field - Upgrade cuDNN from V5 to V7 - Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification - Create alias for conda packages - Complete documentation in Chinese - Add instructions for running SINGA on Windows - Update the compilation, CI We look forward to hearing your feedback, suggestions and contributions to the project. ===== Disclaimer Apache SINGA (incubating) is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by Apache Incubator. 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. On behalf of the SINGA team, Moaz Reyad
