HN Explorer

8 comments

[ 3.2 ms ] story [ 42.0 ms ] thread
snowAbstraction
How does Mlpack relate to tensorflow?
jayhack0
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.
snnn
Does it have a distributed version?
unusximmortalis
Sorry if this sounds like a dumb question, can it be used for deep learning?
shanwang
This 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 :)

visarga
Is there an example of multiclass text classification with mlpack? I couldn't find any.
nurettin
Not a user, but I saw this in the documentation: MulticlassClassificationLayer