You can use Amazon SageMaker to build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows. Amazon SageMaker has a built-in feature called Amazon SageMaker Debugger that automatically analyzes data generated during training, such as input, output, and transformations. As a result, it can detect and report overfitting and other inaccuracies without manual intervention.
For example, you can:
Automatically stop the training process when the desired accuracy is achieved.
Capture training metrics in real-time.
Receive alerts when overfitting is detected.
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