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Hey,
On 06.01.2015 05:04, Mike Anderson wrote:
On Tuesday, 6 January 2015 04:27:55 UTC+8, Christian Weilbach
wrote:
On 05.01.2015 03:34, Mike Anderson wrote:
Very cool stuff!
Like yours! I wish nurokit was EPLed, then I could have had a look
On Tuesday, 6 January 2015 04:27:55 UTC+8, Christian Weilbach wrote:
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On 05.01.2015 03:34, Mike Anderson wrote:
Very cool stuff!
Like yours! I wish nurokit was EPLed, then I could have had a look at
it and try to include it there. Have
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On 05.01.2015 03:34, Mike Anderson wrote:
Very cool stuff!
Like yours! I wish nurokit was EPLed, then I could have had a look at
it and try to include it there. Have libraries like this high
commercial value? I thought the knowledge to apply them
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Hi all,
- From the README:
This library is supposed to implement Boltzmann Machines, Autoencoders
and related deep learning technologies. All implementations should
both have a clean high-level mathematical implementation of their
algorithms (with
Where is the repository?
On Sunday, January 4, 2015 4:07:22 PM UTC-7, Christian Weilbach wrote:
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Hi all,
- From the README:
This library is supposed to implement Boltzmann Machines, Autoencoders
and related deep learning technologies.
Looks like it's here: https://github.com/ghubber/boltzmann
Christopher Small mailto:metasoar...@gmail.com
January 4, 2015 at 6:45 PM
Where is the repository?
On Sunday, January 4, 2015 4:07:22 PM UTC-7, Christian Weilbach wrote:
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Very cool stuff!
I notice that you are specialising the RBM to a specific matrix
implementation (Clatrix / JBlas) in the file jblas.clj. Are you sure you
need to do that? Part of the beauty of core.matrix is that you should be
able to write your algorithms in an implementation-independent
