What should the ML specialist do to provide the training data to SageMaker with the LEAST development overhead?

1 Comment

  1. Marilyn
    Author

    I compute that the answer is:
    Use SageMaker script mode, and use train.py unchanged. Put the TFRecord data into an Amazon S3 bucket. Point the SageMaker training invocation to the S3 bucket without reformatting the training data.

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