Thank you very much for all your work! It may not be obvious but you helped
expose so many people to deep learning - your contribution is invaluable!
- someone who learned a lot from implementing things in Theano
On Thursday, September 28, 2017 at 12:23:05 PM UTC-4, Pascal Lamblin wrote:
>
>
Thanks for all your contributions.
On Thursday, September 28, 2017 at 9:23:05 AM UTC-7, 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,
>
Thank you so much for all the work! Particular thanks to Pascal and Fred in
this group, without you guys I would found my PhD much more difficult.
Theano will be missed!
On Thursday, September 28, 2017 at 9:23:05 AM UTC-7, Pascal Lamblin wrote:
>
> Dear users and developers,
>
> After almost
Thank you all so much for Theano!
We'll always remember Theano as the first major library for DL development.
All the best everyone!
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
>
> Dear Theano team,
Thank you for your contribution, pretty much all modern frameworks are
based on Theano ideas and flexibility.
Thanks,
Emad
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Dear Pascal, Fred, Arnaud, Ian and the rest of the team,
Your contributions to the field of deep learning have been revolutionary
and deeply inspiring.
Thank you for powering a whole generation of deep learning research.
Thank you for new ideas and being bold.
Most importantly, thank you for
Many thanks for your response!
Best,
Christos
On Wednesday, 23 August 2017 00:00:15 UTC+3, nouiz wrote:
>
> This give you the string we print:
>
> theano.gpuarray.init_dev.devmap['cuda0'].devname
>
> example string: "GeForce GTX 750"
>
> Frédéric
>
> On Sun, Aug 13, 2017 at 12:41 PM Geppetto
Thanks for all your hard work over the years!
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
Maybe the following can help you.
http://deeplearning.net/software/theano/tutorial/faq_tutorial.html#how-to-update-a-subset-of-weights
Also, if you take a subtensor of the gradient itself, some optimizations
can apply that would avoid the computation of the full gradient.
For instance, with
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
Kindly help me out i am stuck with this issue or suggest me how to down
grade to theano 0.9
On Wednesday, September 27, 2017 at 3:29:07 PM UTC+5, freelanc...@gmail.com
wrote:
>
> Sir i recently installed theano bleeding edge version with cuda 9 but i am
> unable to use gpu. Previously i
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