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Published 20 hours ago • verified publisher icon mrdbourke
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Code and files to go along with CS329s machine learning model deployment tutorial.

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403 api enabled but error

Hitting this error on a local instance trying to predict: HttpError:

fig007 avatar fig007

Error when executing request during prediction

``` HttpError: Traceback: ```

gqmz avatar gqmz

Error in # Save model_1 model_1.save("efficientnet_model_1_10_classes")

KeyError: "Failed to add concrete function 'b'__inference_model_1_layer_call_fn_61750'' to object-based SavedModel as it captures tensor which is unsupported or not reachable from root. One reason could be that a stateful object...

fiqiamali avatar fiqiamali

The region us-central1 does not have enough resources available to fulfill the request.

When I do this step: ``` 3. Deploying the whole app to GCP Okay, I've fixed the permissions error, how do I deploy my model/app? I'm glad you asked... run...

jaimeggb avatar jaimeggb

Plot advice

I added a comment to last block of the .ipynb file.

teimour0 avatar teimour0

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Code and files to go along with CS329s machine learning model deployment tutorial.

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