Hyper-parameter optimization in tensorflow object detection API
Asked Answered
T

1

6

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?

Teetotalism answered 3/8, 2018 at 8:55 Comment(0)
S
3

You can change following hyper parameters for object detection:

  • learning rate
  • momentum
  • optimizer
  • decay factor
  • matched_threshold
  • unmatched_threshold
Smallscale answered 1/12, 2018 at 12:2 Comment(0)

© 2022 - 2024 — McMap. All rights reserved.