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https://issues.apache.org/jira/browse/SINGA-204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wangwei updated SINGA-204:
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Description:
For feed-forward neural nets, their layers construct a directly acyclic graph.
For this ticket, we are going to implement add a FeedForwordNet to training
these nets, which
1. consists of a set of directly connected layers, and
2. provides functions for constructing the net by adding layers one by one
3. provides access functions for layers and parameters.
4. provides functions for forward and backward
was:
For feed-forward neural nets, their layers construct a directly acyclic graph.
For this ticket, we are going to implement a sequential model to represent the
neural nets in this category. The SequentialModel would
1. consist of a set of directly connected layers, and
2. provide functions for constructing the net by adding layers one by one
3. provide access functions for layers and parameters.
4. provide functions for forward and backward
> Support the training of feed-forward neural nets
> ------------------------------------------------
>
> Key: SINGA-204
> URL: https://issues.apache.org/jira/browse/SINGA-204
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
> Assignee: wangwei
>
> For feed-forward neural nets, their layers construct a directly acyclic
> graph. For this ticket, we are going to implement add a FeedForwordNet to
> training these nets, which
> 1. consists of a set of directly connected layers, and
> 2. provides functions for constructing the net by adding layers one by one
> 3. provides access functions for layers and parameters.
> 4. provides functions for forward and backward
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