You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@singa.apache.org by "wangwei (JIRA)" <ji...@apache.org> on 2016/06/25 08:10:41 UTC
[jira] [Updated] (SINGA-204) Support the training of feed-forward
neural nets
[ https://issues.apache.org/jira/browse/SINGA-204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
wangwei updated SINGA-204:
--------------------------
Summary: Support the training of feed-forward neural nets (was: Implement Sequential Model for training feed-forward neural nets)
> 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 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)