Gneural Network - Tasks: task #14199, Implement gradient descent...
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task #14199: Implement gradient descent training for nnet.
Submitter: | Ray Dillinger <rayd> | ||
Submitted: | Sun 30 Oct 2016 04:27:14 PM UTC | ||
Should Start On: | Sun 30 Oct 2016 07:00:00 AM UTC | Should be Finished on: | Wed 30 Nov 2016 08:00:00 AM UTC |
Category: | None | Priority: | 8 |
Status: | In Progress | Privacy: | Public |
Assigned to: | rayd | Percent Complete: | 10% |
Open/Closed: | Open | Effort: | 0.00 |
Thu 15 Dec 2016 04:41:33 AM UTC, comment #1: |
Ray Dillinger <rayd> |
Sun 30 Oct 2016 04:27:14 PM UTC, original submission:
|
Ray Dillinger <rayd> |
No files currently attached
Depends on the following items: None found
Items that depend on this one: None found
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Follow 3 latest changes.
Date | Changed by | Updated Field | Previous Value | => | Replaced by |
---|---|---|---|---|---|
2016-12-15 | rayd | Percent Complete | 0% | 10% | |
2016-11-18 | rayd | Status | None | In Progress | |
Assigned to | None | rayd |
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Corresponding source code
Today's checkin completes support for data statements in the scripts. This means it is now possible to make data available in scripts for training/testing.
It's implemented under this task because it's on the critical path here, but it's basic infrastructure that will be needed for most functionality; it would be on the critical path almost no matter what we were doing next.