How to perform distributed training on Amazon SageMaker using SageMaker's Distributed Data Parallel library and debug using Amazon SageMaker Debugger.

How to perform training on Amazon SageMaker using SageMaker's script mode and debug using Amazon SageMaker Debugger.

"An end-to-end Medical Imaging pipeline built on AWS SageMaker utilizing Transfer Learning (ResNet18). The project implements Hyperparameter Optimization (HPO) to minimize loss, leverages SageMaker Debugger & Profiler for resource optimization, and concludes with a Production-ready real-time inference endpoint