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Train, Evaluate, and Package an Image Classifier in Amazon SageMaker
In this lab, you will use Amazon SageMaker to train and evaluate a TensorFlow image classification model using prepared image datasets. You will configure and run a managed training workflow, monitor model performance, and package the resulting model artifact for future deployment or inference use.
Lab Info
Table of Contents
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Challenge
Train a TensorFlow image classification model in Amazon SageMaker
- Upload a training dataset to Amazon S3.
- Configure a SageMaker notebook environment.
- Launch a TensorFlow training job to build an image classification model capable of distinguishing between water bottles and soda cans.
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Challenge
Evaluate and package the trained model artifact
- Execute a SageMaker training workflow.
- Review the generated model artifacts.
- Locate the packaged model in Amazon S3 for future deployment or reuse.
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