On Tue, May 31, 2016 at 9:36 AM, atucker <agjf.tuc...@gmail.com> wrote:
> Given that the TensorFlow website invites people to build interfaces from > other languages using SWIG, I guess they feel that access to the C++ > component is the major thing. So while I agree with Christian about > reinventing the wheel, it may be that to interface at that level would > involve reinventing only a relatively few spokes. > I looked into this and unfortunately Tensorflow is not as language-agnostic as it might seem. If you just want predictions from a trained model, you can connect with SWIG. However, for training, it is required to use Python because Python installs a bunch of backprop definitions into the graph. It should be possible to pull this off (and then call into it from Clojure). The difficulty of doing so is hard for me to assess, so I'm hoping someone can chime in on this. -- You received this message because you are subscribed to the Google Groups "Clojure" group. To post to this group, send email to clojure@googlegroups.com Note that posts from new members are moderated - please be patient with your first post. To unsubscribe from this group, send email to clojure+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/clojure?hl=en --- You received this message because you are subscribed to the Google Groups "Clojure" group. To unsubscribe from this group and stop receiving emails from it, send an email to clojure+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
