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I am using tensorflow object detection model from scratch.How can I do it so that the model trains the network from scratch rather than using a pretrained model.
Thanks!

gradient_clipping_by_norm: 10.0

Python
fine_tune_checkpoint: "/home/user/Downloads/Data_Science/Git/models/research/object_detection/faster_rcnn_inception_v2_coco_2018_01_28/model.ckpt"
  <pre>from_detection_checkpoint: true


What I have tried:

I tried commenting the loading
Python
fine tune checkpoint function
.But the loss starts from as low
1.5
,so I am in doubt whether its the right approach?
Posted
Updated 9-Dec-19 2:41am

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