#Amazon SageMaker
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Experiment tracking with MLflow inside Amazon SageMaker
Use MLflow to productionize an MXNet model in Amazon SageMaker.
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Experiment tracking with MLflow inside Amazon SageMaker
MXNet to ONNX to ML.NET with Amazon SageMaker, ECS and ECR
Use MXNet to create an ONNX model that can be used in ML.NET for inference.
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MXNet to ONNX to ML.NET with Amazon SageMaker, ECS and ECR
Voice Recognition with MXNet and Amazon SageMaker
Learn to use a CNN defined in MXNet to recognize the AWS Polly voice in an audio recording.
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Voice Recognition with MXNet and Amazon SageMaker
Count Objects in an Image with MXNet and Amazon SageMaker
End-to-end tutorial showing how to train a CNN model that can count the objects in an image.
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Count Objects in an Image with MXNet and Amazon SageMaker