wehub/tensorflow--tensorflow
1
0
Fork 0
Code Issues Pull Requests Actions Deployments Models Agent Notes Packages Projects Releases Wiki Activity

chore: import upstream snapshot with attribution
cffconvert / validate (push) Has been skipped
Details
License Check / license-check (push) Failing after 2s
Details

Browse Source
This commit is contained in:
wehub-resource-sync
2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
36502 changed files with 9277225 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tensorflow/examples/image_retraining/README.md
+15
View File
@@ -0,0 +1,15 @@
**NOTE: This code has moved to**
https://github.com/tensorflow/hub/tree/master/examples/image_retraining
retrain.py is an example script that shows how one can adapt a pretrained
network for other classification problems (including use with TFLite and
quantization).
As of TensorFlow 1.7, it is recommended to use a pretrained network from
TensorFlow Hub, using the new version of this example found in the location
above, as explained in TensorFlow's revised
[image retraining tutorial](https://www.tensorflow.org/hub/tutorials/tf2_image_retraining).
Older versions of this example (using frozen GraphDefs instead of
TensorFlow Hub modules) are available in the release branches of
TensorFlow versions up to and including 1.7.