Using AWS SageMaker to Tune Your ML Models Hyperparameter
This tutorial focuses on hyperparameter tuning to run multiple training jobs with different hyperparameter combinations, to find the one with the best model training result.
The example uses a convolutional neural network model to train the MNIST dataset using the SageMaker TensorFlow container and apply Automatic Tuning to choose the best model.
---------------------------------------
GitHub's Project: https://github.com/briandevvn/aws-sag...
_______________________
• LinkedIn: / briandevvn
• X: https://x.com/briandevvn
• GitHub: https://github.com/briandevvn/