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Clarify override of non-trainability of layers when model is created.

Open microprediction opened this issue 3 years ago • 4 comments
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URL(s) with the issue:.

https://keras.io/guides/transfer_learning/

Description of issue (what needs to be changed):.

Unless I am mistaken (and I may well be) there is no point in setting a layer to be non-trainable prior to construction of the model. This property will be ignored, as this gist demonstrates. Instead one must access the layer after the model is created.

microprediction avatar Aug 30 '22 22:08 microprediction

@microprediction, Could you please feel free to submit a PR for the requested change to be made. Thank you!

tilakrayal avatar Sep 02 '22 10:09 tilakrayal

Sure thanks

microprediction avatar Sep 06 '22 13:09 microprediction

@microprediction, Could you please feel free to submit a PR for the requested change to be made and provide the PR number for the tracking. Thank you!

tilakrayal avatar Sep 08 '22 11:09 tilakrayal

This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.

google-ml-butler[bot] avatar Sep 15 '22 12:09 google-ml-butler[bot]

Closing as stale. Please reopen if you'd like to work on this further.

google-ml-butler[bot] avatar Sep 22 '22 12:09 google-ml-butler[bot]

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On Tue, Sep 6, 2022 at 9:50 AM Peter Cotton @.***> wrote:

Sure thanks

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aliakdeniz38 avatar Oct 11 '22 07:10 aliakdeniz38