[
https://issues.apache.org/jira/browse/MAHOUT-1426?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13913488#comment-13913488
]
Maciej Mazur edited comment on MAHOUT-1426 at 2/27/14 2:41 PM:
---------------------------------------------------------------
I've read the papers. I didn't think about distributed network. I had in mind
network that will fit into memory, but will require significant amount of
computations.
I understand that there are better options for neural networks than map reduce.
How about non-map-reduce version?
I see that you think it is something that would make a sense. (Doing a
non-map-reduce neural network in Mahout would be of substantial
interest.)
Do you think it will be a valueable contribution?
Is there a need for this type of algorithm?
I think about multi-threded batch gradient descent with pretraining (RBM or/and
Autoencoders).
I have looked into these old JIRAs. RBM patch was withdrawn.
"I would rather like to withdraw that patch, because by the time i implemented
it i didn't know that the learning algorithm is not suited for MR, so I think
there is no point including the patch."
was (Author: maciejmazur):
I've read the papers. I didn't think about distributed network. I had in mind
network that will fit into memory, but will require significant amount of
computations.
I understand that there are better options for neural networks than map reduce.
How about non-map-reduce version?
I see that you think it is something that would make a sense.
Do you think it will be a valueable contribution?
Is there a need for this type of algorithm?
I think about multi-threded batch gradient descent with pretraining (RBM or/and
Autoencoders).
I have looked into these old JIRAs. RBM patch was withdrawn.
"I would rather like to withdraw that patch, because by the time i implemented
it i didn't know that the learning algorithm is not suited for MR, so I think
there is no point including the patch."
> GSOC 2013 Neural network algorithms
> -----------------------------------
>
> Key: MAHOUT-1426
> URL: https://issues.apache.org/jira/browse/MAHOUT-1426
> Project: Mahout
> Issue Type: Improvement
> Components: Classification
> Reporter: Maciej Mazur
>
> I would like to ask about possibilites of implementing neural network
> algorithms in mahout during GSOC.
> There is a classifier.mlp package with neural network.
> I can't see neighter RBM nor Autoencoder in these classes.
> There is only one word about Autoencoders in NeuralNetwork class.
> As far as I know Mahout doesn't support convolutional networks.
> Is it a good idea to implement one of these algorithms?
> Is it a reasonable amount of work?
> How hard is it to get GSOC in Mahout?
> Did anyone succeed last year?
--
This message was sent by Atlassian JIRA
(v6.1.5#6160)
