[Lisa_teatalk] [Lisa_labo] Tea Talk by Kyle Kastner this Friday 13.30-14.30 @AA3195

Sina Honari sina.honari at gmail.com
Tue Mar 10 09:47:31 EDT 2015


Hi,

Interesting topic.
Is it possible to start the talk at 2:00 (the normal tea-talk time) or 2:30?

Best,
Sina

On 10 March 2015 at 06:39, Kyung Hyun Cho <cho.k.hyun at gmail.com> wrote:

> Dear all,
>
> Last year Kyle told us about sklearn-theano which can be used to bridge
> between scikit-learn and Theano. Now, he's ready to tell us how we can even
> bridge Theano with Caffe (!) In other words, we can use GoogLeNet easily
> together with Theano now. Isn't it awesome? Furthermore, it's going to be
> the thirteenth this Friday (huh?)
>
> The talk will be on Friday at 13.30 in the usual place AA3195. See below
> for the details.
> - Cho
>
> ===
> Speaker: Kyle Kaster
> Date/Time: 13 Apr (Friday) @13.30
> Place: AA3195
> Title: Theano + Caffe, with a side of GoogLeNet, in sklearn-theano
> Abstract:
> sklearn-theano (http://sklearn-theano.github.io/) is a package for
> applying pretrained neural networks to data using python, numpy and
> theano. sklearn-theano strives to conform to the scikit-learn
> interface, and can be flexibly added into machine learning pipelines
> as an upfront transform followed by standard classifiers and
> transformers from scikit-learn. Many of the models in sklearn-theano
> also work as standalone classifiers and object localizers.
>
> We have recently added support for a potentially huge number of
> pretrained models by adding a bridge between Theano and Caffe. This
> talk will go over some interesting notes about the architecture of
> GoogLeNet itself, the key things necessary to bring *new* models into
> sklearn-theano (or theano in general), and some discussion about where
> we plan to go next.
>
>
>
> _______________________________________________
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> Lisa_labo at iro.umontreal.ca
> https://webmail.iro.umontreal.ca/mailman/listinfo/lisa_labo
>
>
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