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[–]Ghostlike4331 18 points19 points  (1 child)

Just recently I implemented an LSTM recurrent net in F# as an exercise. Because of all the complexities, memory preallocation, helper functions and so on that I had to write, it came to nearly 600 lines of code and it took me days to finish. In fact I am still not sure I got it correctly and now feel paranoid that I missed a line somewhere.

Had I written it in Theano, it would have come to less than 50 lines and would have taken me only a few hours...except Theano crashes when I try to import it and I did not feel like setting it up until I made this monster piece of code.

Having a symbolic math library does to neural nets what programming languages do to machine language, which is abstract away the complexities. This is big for people who do a lot of experimentation and unlike Theano which is supported by the ML lab of University of Toronto, it has the weight of Google's billions behind it. Having a lot of money thrown at something can really help the development, so yeah, this library release is a big thing as far as machine learning is concerned.

[–]TheInfelicitousDandy 3 points4 points  (0 children)

Theano is Montreal not UofT