Difference between revisions of "SageMaker"
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* [[Bedrock]] | [[Amazon]] | * [[Bedrock]] | [[Amazon]] | ||
| + | * [[Foundation Models (FM)]] | ||
* [https://docs.aws.amazon.com/sagemaker/latest/dg/tf-examples.html Product page...] | * [https://docs.aws.amazon.com/sagemaker/latest/dg/tf-examples.html Product page...] | ||
* [[DeepLens - deep learning enabled video camera]] | * [[DeepLens - deep learning enabled video camera]] | ||
Revision as of 21:14, 14 April 2023
YouTube search... ...Google search
- Bedrock | Amazon
- Foundation Models (FM)
- Product page...
- DeepLens - deep learning enabled video camera
- Amazon AWS
- Notebooks; Jupyter and R Markdown
- Create an Amazon SageMaker Autopilot Experiment in SageMaker Studio
- SageMaker : How to build your Machine Learning Pipeline | Manas Narkar - Medium
Enables developers to quickly and easily build, train, and deploy machine learning models at any scale.
Getting Started
- SageMaker Studio Lab | Amazon; a free offering to assist developers master machine learning techniques and experimenting with the technology. Users get everything they need to start with Studio Lab, including a JupyterLab IDE, model training on CPUs and GPUs, and 15 GB of persistent storage.
- Deep Learning Team | Jovon Weathers
More
