Hi, When I Save Model Using Tf.Keras.Save_Model Or Using Modelcheckpoint Model Is Not Saved As An Artifact. Output Uri Is Set To Google Cloud Bucket. When Reporting With Logger Everything Is Stored Correctly. Do You Maybe Have Any Idea Why This Would Not

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I'm sorry for late response. You could probably replicate it by instead of using activation="relu" you used new ReLU layer after Dense. Or if this does not do, extract part of the model in separate Sequential model, for example
Sequential([ Dense(128), BatchNormalization(), ReLU(), ])

  				
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	2 years ago

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2 years ago

one year ago