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https://issues.apache.org/jira/browse/HAMA-681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Christian Herta updated HAMA-681:
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Description:
Implementation of a Multilayer Perceptron (Neural Network)
- Learning by Backpropagation
- Distributed Learning
The implementation should be the basis for the long range goals:
- more efficent learning (Adagrad, L-BFGS)
- High efficient distributed Learning
- Autoencoder - Sparse (denoising) Autoencoder
- Deep Learning
---
Due to the overhead of Map-Reduce(MR) MR didn't seem to be the best strategy to
distribute the learning of MLPs.
Therefore the current implementation of the MLP (see MAHOUT-976) should be
migrated to Hama. First all dependencies to Mahout (Matrix-Library) must be
removed to get a standalone MLP Implementation. Then the Hama BSP programming
model should be used to realize distributed learning.
was:
Implementation of a Multilayer Perceptron (Neural Network)
- Learning by Backpropagation
- Distributed Learning
Implementation should be the basis for the long range goals:
- High efficient distributed Learning
- Autoencoder - Sparse (denoising) Autoencoder
- Deep Learning
> Multi Layer Perceptron
> -----------------------
>
> Key: HAMA-681
> URL: https://issues.apache.org/jira/browse/HAMA-681
> Project: Hama
> Issue Type: New Feature
> Components: machine learning
> Affects Versions: 0.5.0
> Reporter: Christian Herta
>
> Implementation of a Multilayer Perceptron (Neural Network)
> - Learning by Backpropagation
> - Distributed Learning
> The implementation should be the basis for the long range goals:
> - more efficent learning (Adagrad, L-BFGS)
> - High efficient distributed Learning
> - Autoencoder - Sparse (denoising) Autoencoder
> - Deep Learning
>
> ---
> Due to the overhead of Map-Reduce(MR) MR didn't seem to be the best strategy
> to distribute the learning of MLPs.
> Therefore the current implementation of the MLP (see MAHOUT-976) should be
> migrated to Hama. First all dependencies to Mahout (Matrix-Library) must be
> removed to get a standalone MLP Implementation. Then the Hama BSP programming
> model should be used to realize distributed learning.
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