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First TensorFlow, then Baidu's Warp-CTC, and now Microsofts CNTK. It is a very, very exciting time for open source machine learning indeed.
How many Deep Learning frameworks now? I think DL frameworks are coming up like JavaScript frameworks
Here's a (currently incomplete) list of Deep Learning frameworks : https://docs.google.com/spreadsheets/d/1XvGfi3TxWm7kuQ0DUqYr... There are many :)
They claimed to be "the only public toolkit that can scale beyond single machine". Well, mxnet ( https://github.com/dmlc/mxnet ) can scale across multiple CPUs and GPUs.
Multiple machines implies scaling across a network or backbone - multiple logical computers. As I understand it at least.
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Except that it appears to require MKL or ACML... Sigh... ./configure Defaulting to --with-buildtype=release Cannot find a CPU math library. Please specify --with-acml or --with-mkl with a path.
There's a joke that says those that hate Windows use Linux, and those that love unix use BSD. I think this recent open source push by microsoft is depending on the truth of that statement. I think they're working under the assumption that the recent push of developers using Linux has more to do with those developers wanting to use a superior open source environment than preferring Unix/Linux as an operating system. A…
I'm a bit surprised they decided on a CAFFE-like declarative language for specifying neural net architectures[1], instead of offering high-level software components that enable easy composition right from within a scripting language, e.g., like Python in TensorFlow's case.[2] Is there anyone from the Microsoft team here that can explain this decision? -- [1] See examples on https://github.com/Microsoft/CNTK/wiki/CNTK…
According to their slides[1] it is planned: Quoth: "Models can be described and modified with • C++ code • Network definition language (NDL) and model editing language (MEL) • Brain Script (beta) • Python and C# (planned) " [1] http://research.microsoft.com/en-us/um/people/dongyu/CNTK-Tu... thanks to @sharms
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Here's a (currently incomplete) list of Deep Learning frameworks : https://docs.google.com/spreadsheets/d/1XvGfi3TxWm7kuQ0DUqYr... There are many :)
Missing Vowpal Wabbit: http://hunch.net/~vw/
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At least ACML seems to be open source now too. "ACML End of Life Notice: We have transitioned our math libraries from a proprietary, closed source codebase (ACML) to open source solutions"[1] [1] http://developer.amd.com/tools-and-sdks/archive/amd-core-mat...
And, if I recall, MKL is included in Microsoft R Open (previously, Revolution R Open). At least, that's what the instructions here[1] lead me to believe. [1] https://mran.revolutionanalytics.com/documents/rro/installat...
I'm a bit surprised they decided on a CAFFE-like declarative language for specifying neural net architectures[1], instead of offering high-level software components that enable easy composition right from within a scripting language, e.g., like Python in TensorFlow's case.[2] Is there anyone from the Microsoft team here that can explain this decision? -- [1] See examples on https://github.com/Microsoft/CNTK/wiki/CNTK…
Let's hope they decide to target F#.
Only Microsoft can open source documentation on github in docx https://github.com/Microsoft/CNTK/tree/master/Documentation/...