Hi All, We are happy to announce the release of MXNet v0.10.0 that brings:
- Overhauled documentation for commonly used Python APIs, Installation Instructions, Tutorials, HowTos and MXNet Architecture. - Updated mxnet.io for improved readability. - Pad operator now support reflection padding. - Fixed a memory corruption error in threadedengine. - Added CTC loss layer to contrib package. See mx.contrib.sym.ctc_loss. - Added new sampling operators for several distributions (normal,uniform,gamma,exponential,negative binomial). - Added documentation for experimental RNN APIs. The RC tag in git is: v0.10.0 <https://github.com/dmlc/mxnet/tree/v0.10.0> and the latest commit id is 8713d257cde97a660a459aa8a50a780944cf823c <https://github.com/dmlc/mxnet/commit/8713d257cde97a660a459aa8a50a780944cf823c>. We have also made this release available for Python binding via pip. Please update to this latest version and provide your feedback. Thanks, Naveen
