Mlpack – a scalable C++ machine learning library
1–9 of 9 posts
Re: Mlpack – a scalable C++ machine learning library
#2mlpack was accepted into Google Summer of Code this year and there are some really cool projects going on right now:
https://summerofcode.withgoogle.com/organizations/5376684740...
See also the project's github: https://github.com/mlpack/mlpack
Re: Mlpack – a scalable C++ machine learning library
#3How does Mlpack relate to tensorflow?
Re: Mlpack – a scalable C++ machine learning library
#4This is interesting, I like the way that each algorithm can be compiled to a command line executables.
However, the benchmark looks a bit confusing, how does it compare against some more popular libraries like tensorflow?
Also, while on black document is not very good for the eyes :)
Re: Mlpack – a scalable C++ machine learning library
#5How does Mlpack relate to tensorflow?
Tensorflow is aimed at ML architectures that are fully differentiable (just close your eyes and say "deep learning.") and performs automatic differentiation (you just define the architecture, tensorflow figures out how to update parameters). MLpack is less flexible but provides robust implementations of several class ML algorithms that you wouldn't necessarily want to write in Tensorflow, even though you probably could.
Re: Mlpack – a scalable C++ machine learning library
#6How does Mlpack relate to tensorflow?
Tensorflow is aimed at ML architectures that are fully differentiable (just close your eyes and say "deep learning.") and performs automatic differentiation (you just define the architecture, tensorflow figures out how to update parameters). MLpack is less flexible but provides robust implementations of several class ML algorithms that you wouldn't necessarily want to write in Tensorflow, even though you probably cou…
Does it have a distributed version?
Re: Mlpack – a scalable C++ machine learning library
#7Is there an example of multiclass text classification with mlpack? I couldn't find any.
Re: Mlpack – a scalable C++ machine learning library
#8How does Mlpack relate to tensorflow?
Tensorflow is aimed at ML architectures that are fully differentiable (just close your eyes and say "deep learning.") and performs automatic differentiation (you just define the architecture, tensorflow figures out how to update parameters). MLpack is less flexible but provides robust implementations of several class ML algorithms that you wouldn't necessarily want to write in Tensorflow, even though you probably cou…
Sorry if this sounds like a dumb question, can it be used for deep learning?
Re: Mlpack – a scalable C++ machine learning library
#9Is there an example of multiclass text classification with mlpack? I couldn't find any.
Not a user, but I saw this in the documentation: MulticlassClassificationLayer