Difference between revisions of "FTC CanDo With TensorFlow 20220513"
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| − | == Based on == | + | == Based on Version 6 of CanDo and == |
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| + | * [https://github.com/edcepp/FTCJavaLabs/blob/main/CanDo06.java CanDo06.java] for the May lab. | ||
| + | * For details see [[FTC_A_Hint_of_CanDo_-_TBD_20220422#Version_6_Add_Reverse_and_Turn]] | ||
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| + | == Bases on xxx == | ||
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* TensorFlow TBD | * TensorFlow TBD | ||
Revision as of 07:16, 13 May 2022
Contents
Added Machine Learning Capability
TBD
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 Version 6 of CanDo and
- CanDo06.java for the May lab.
- For details see FTC_A_Hint_of_CanDo_-_TBD_20220422#Version_6_Add_Reverse_and_Turn
Bases on xxx
- TensorFlow TBD
Integrated
- TensorFlowCanDo TDB
