Implementing Neural Networks in sympy

[AS1]

Hi,

I want to use sympy to implement a symbolic neural network. I have worked in theano, where I can perform operations such as sigmoid in an elementwise manner on matrices. Does sympy provide support for evaluating general functions in an elementwise manner on symbolic matrices? Or could you suggest any other way to do this?

thanks

[Matthew Rocklin]

Beware that computations in SymPy are much much slower than computations in Theano.  Also symbolic computations that involve many many operations quickly become very complex.  

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[Aaron Meurer]

Can you be more specific on what kinds of operations are required? For
instance, are your "symbolic matrices" matrices with symbolic entries,
or matrices with symbolic shape?

Aaron Meurer

> https://groups.google.com/d/msgid/sympy/CAJ8oX-HJGAntNGvgL7F3yWE5-Yq6OVvGSwU3yHou%2BKt00X-kGw%40mail.gmail.com.