6.2: Converting Python saved models with the TensorFlow.js command line converter

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You are perfect! For a long time I tried to run it locally on my windows system but failed every time. You saved my with google collab. Respect!

billyboy
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Although I've been enjoying this series, it is disheartening that this particular video that was made by Google developers and uses Google Colab no longer works after only 3 months. When following the instructions on Colab, the code returns a "TF-TRT Warning: Could not find TensorRT" error when attempting to run the tensorflowjs_converter. I can't find any resolutions to this issue, and can't move forward if we're going to be building on these concepts in the next video.

RobOlsen
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Great tutorial, I'd add that GraphModel is not fine-tunable, so you can not re-train it. The pb models that convert to GraphModels are then only useful for inference (to test the model).

I think it is said but just to make it obvious, if you want to fine tune / re-train / use transfer learning, you need Layer Models and for that you need "tf-models-here.h5" or the js versions.

mahneh
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I get the following error: Exception: Error dumping weights, duplicate weight name kernel

DimensionPardo
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