Is there any way to specify hyper-parameter optimisation like Hyperopt or other in the config file of object detection API to fine tune the model?
Hyper-parameter optimization in tensorflow object detection API
You can change following hyper parameters for object detection:
- learning rate
- momentum
- optimizer
- decay factor
- matched_threshold
- unmatched_threshold
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