![]() ![]() Mocha is a Deep Learning framework for Julia, inspired by the C++ framework Caffe. ![]() ![]() Tutorials | Documentation | Release Notes | Roadmap | Issues In particular, there are Knet.jl and Flux.jl for pure-Julia solutions, and MXNet.jl and Tensorflow.jl for wrapper to existing deep learning systems. If you are interested in doing deep learning with Julia, please check out some alternative packages that are more up-to-date and actively maintained. Reworking Mocha with new technologies requires some non-trivial efforts, and new exciting solutions already exist nowadays, it is a good time for the retirement of Mocha.jl. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels directly in Julia and general auto-differentiation supports, the Mocha codebase becomes excessively old and primitive. The development of Mocha.jl happens in relative early days of Julia. If you have existing legacy codebase with Mocha that you want to updates for Julia v1.0, the pull request 255 contains fixes for CPU backend only that have all the unit tests passed under Julia v1.0. The latest version works with Julia v0.6. ![]()
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