Progress for week 48 (2018)
From Robin
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** First: Traditional methods (similar to experiment 1) | ** First: Traditional methods (similar to experiment 1) | ||
** I suspect I need more data - transfer learning, RNN etc. | ** I suspect I need more data - transfer learning, RNN etc. | ||
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| + | == Malin Aandahl == | ||
| + | === Budget === | ||
| + | * Implement new fitness function. | ||
| + | * Find out where the position to the robot is calculated(and change to be the back instead of the front of the robot) | ||
| + | * Finish tutorials about Docker. | ||
| + | * If time set up Docker or implement function to find position. | ||
Revision as of 11:26, 22 November 2018
Contents |
David Kolden
Budget
- Implement one or more algorithms. Refine D2CO. Research a way to find a gradient with chamfer distance.
Jonas S. Waaler
Budget
- Tune data to fit classification task (experiment 2)
- Construct algorithms/architectures to solve the classification task
- First: Traditional methods (similar to experiment 1)
- I suspect I need more data - transfer learning, RNN etc.
Malin Aandahl
Budget
- Implement new fitness function.
- Find out where the position to the robot is calculated(and change to be the back instead of the front of the robot)
- Finish tutorials about Docker.
- If time set up Docker or implement function to find position.
