Just a historical note. Before Theano, we had another framework. It took 1 year to prototype Theano, then it took 1 year to have most people use Theano internally, but the previous framework was still used for 10 year. So I won't be surprised it Theano continue to be used for a long time.
On Wed, Oct 25, 2017 at 1:58 PM Juan Camilo Gamboa Higuera < juancami...@gmail.com> wrote: > > I understand that MILA has found that it doesn't need to continue > supporting Theano. However, I believe that the statement "MILA will > discontinue support of Theano" is not equivalent to "Theano is dead". I > feel that pytorch and tensorflow, even though they're backed by large > companies, they're still lagging behind Theano as general machine learning > framewroks (i.e. not just deep learning). Personally, I've benefited from > all the effort that people have put in theano, and will continue to use it > as long as it is the best tool that suits my needs (bayesian methods for > model based reinforcement learning). For this, I am very grateful towards > the Theano development team. > > THanks! > > > > On Thursday, September 28, 2017 at 12:23:05 PM UTC-4, Pascal Lamblin wrote: > >> Dear users and developers, >> >> After almost ten years of development, we have the regret to announce >> that we will put an end to our Theano development after the 1.0 release, >> which is due in the next few weeks. We will continue minimal maintenance >> to keep it working for one year, but we will stop actively implementing >> new features. Theano will continue to be available afterwards, as per >> our engagement towards open source software, but MILA does not commit to >> spend time on maintenance or support after that time frame. >> >> The software ecosystem supporting deep learning research has been >> evolving quickly, and has now reached a healthy state: open-source >> software is the norm; a variety of frameworks are available, satisfying >> needs spanning from exploring novel ideas to deploying them into >> production; and strong industrial players are backing different software >> stacks in a stimulating competition. >> >> We are proud that most of the innovations Theano introduced across the >> years have now been adopted and perfected by other frameworks. Being >> able to express models as mathematical expressions, rewriting >> computation graphs for better performance and memory usage, transparent >> execution on GPU, higher-order automatic differentiation, for instance, >> have all become mainstream ideas. >> >> In that context, we came to the conclusion that supporting Theano is no >> longer the best way we can enable the emergence and application of novel >> research ideas. Even with the increasing support of external >> contributions from industry and academia, maintaining an older code base >> and keeping up with competitors has come in the way of innovation. >> >> MILA is still committed to supporting researchers and enabling the >> implementation and exploration of innovative (and sometimes wild) >> research ideas, and we will keep working towards this goal through other >> means, and making significant open source contributions to other >> projects. >> >> Thanks to all of you who for helping develop Theano, and making it >> better by contributing bug reports, profiles, use cases, documentation, >> and support. >> >> -- Yoshua Bengio, >> Head of MILA >> > -- > > --- > You received this message because you are subscribed to the Google Groups > "theano-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to theano-users+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
