Difference between revisions of "FTC CanDo With TensorFlow 20220513"
From wikidb
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| + | = Added Machine Learning Capability + | ||
| + | |||
| + | TBD | ||
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= References = | = References = | ||
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== Based on == | == Based on == | ||
| − | * CanDo | + | * CanDo TBD |
| − | * TensorFlow | + | * TensorFlow TBD |
== Integrated == | == Integrated == | ||
| − | * TensorFlowCanDo | + | * TensorFlowCanDo TDB |
Revision as of 17:45, 12 May 2022
= Added Machine Learning Capability +
TBD
Contents
References
Tutorial Videos
- Tutorial - Using TensorFlow to detect game pieces in First Tech Challenge (FTC) robot competitions and explore Machine Learning
- Locate Gold Mineral And Push Demo Video
Epp TensorFlow Projects
- [https://www.youtube.com/watch?v=Cd2PYhapyvw
- FTC Epp TensorCode
- IEEE TryEnginering resource page Links to the same tutorial above.
Code
Based on
- CanDo TBD
- TensorFlow TBD
Integrated
- TensorFlowCanDo TDB
