Re:JuliaLang: The Ingredients for a Composable Programming L...
by mark_l_watson on Monday February 10, 2020 @02:13PM
(#22292188)
I didn’t express that correctly. What I meant to say was that I investigated Julia as a possible “use it for everything language.”
For me, general purpose has to include deep learning tools.
I really prefer Lisp and Haskell, but although Haskell’s TensorFlow support is pretty good, I found it easier to just use Python. I have had problems with the SBCL Common Lisp TensorFlow C bindings, but perhaps that was my fault.
Re:JuliaLang: The Ingredients for a Composable Programming L...
by iLemming on Tuesday February 11, 2020 @01:39PM
(#22301214)
AFAIK Clojurians doing some interesting stuff in that space. They've figured out Python Interop, writing books on Deep learning, Linear Algebra, etc. all that in Clojure.
For me, general purpose has to include deep learning tools.
I really prefer Lisp and Haskell, but although Haskell’s TensorFlow support is pretty good, I found it easier to just use Python. I have had problems with the SBCL Common Lisp TensorFlow C bindings, but perhaps that was my fault.