[4eyes] Next lab meeting: Deep Learning

[Chris Sweeney]

Another related link. Nvidia is giving a free course on deep learning:

http://info.nvidianews.com/Deep_Learning_Courses_15.html

I would also highly recommend the Coursera course on Neural Networks by
Geoff Hinton. It's an excellent easy-to-follow introduction to the core
principles of deep learning.

On Wed, Jul 15, 2015 at 11:32 AM Chris Sweeney <cmsweeney at cs.ucsb.edu>
wrote:

> Regarding Yann LeCun, Sami Bengio and Geoff Hinton's paper -- there was a
> very interesting and heated discussion in the CV community about the claims
> and authenticity of this paper. Many people were furious about it and
> probably had some valid points. There was a great open letter written to
> the authors by Juergen Schmidhuber (a big name in Machine Learning) about
> it: https://plus.google.com/100849856540000067209/posts/9BDtGwCDL7D
>
> It would be great if Xiaoli could include this information in the
> discussion of the Nature Paper.
>
>
> On Wed, Jul 15, 2015 at 11:20 AM John O'Donovan <jodmail at gmail.com> wrote:
>
>> Hi All,
>>  We will have a research discussion about Deep Learning during the
>> next lab meeting. Three of us will present material as outlined below.
>> The meeting will probably be at 2pm on Monday.  Tobias will confirm
>> the time later in the week.
>>
>> John:
>> General intro and walk through relevant parts from Jeff Dean's RecSys
>> keynote talk.
>> https://www.youtube.com/watch?v=vvK-XOiKXOs
>>
>> Xiaoli:
>> Discussion on Yann LeCun's recent Nature paper about Deep Learning
>> (PDF attached).
>>
>> Kuo-Chin:
>> Introduction to Caffe DIY Deep Learning for Vision with Caffe,
>> Available at:  http://caffe.berkeleyvision.org/
>>
>> There are some other resources at http://deeplearning.net
>>
>> Please have a look through the material ahead of time so we can have a
>> good discussion on Monday!
>>
>> Thanks!
>>  -John
>>
>>
>> --
>> John O'Donovan
>> Research Scientist
>> Department of Computer Science
>> University of California, Santa Barbara, CA 93106-5110
>>
>> email: jod at cs.ucsb.edu
>> phone: (805)451-9342
>> web: http://cs.ucsb.edu/~jod
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>
>
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