Zhaoqi
970d88ee18
* Deleted 17 duplicate notebooks (#4685) * Updated README, removed broken links and fixed markdown (#4687) * New Folder Structure Implementation - Archived remaining geospatial example notebooks (#4691) * Archived remaining geospatial example notebooks * Removed geospatial from README.md * Archived remaining workshop notebooks (#4692) * Archived outdated example notebooks between 1-90 views (#4693) --------- Co-authored-by: jsmul <jsmul@amazon.com>
Amazon SageMaker Examples
Amazon SageMaker Pre-Built Framework Containers and the Python SDK
Pre-Built Deep Learning Framework Containers
These examples focus on the Amazon SageMaker Python SDK which allows you to write idiomatic TensorFlow or MXNet and then train or host in pre-built containers.
- CIFAR-10 with Chainer and ChainerMN
- Sentiment Analysis with Chainer
- MNIST with Chainer
- Sentiment Analysis with MXNet Gluon
- IRIS with Scikit-learn
- Visualize Amazon SageMaker Training Jobs with TensorBoard (CIFAR-10, TensorFlow 2.2)
- Managed Spot Training on TensorFlow
Pre-Built Machine Learning Framework Containers
These examples focus on building standard Machine Learning models powered by frameworks like Apache Spark or Scikit-learn using SageMaker Python SDK.