Bring Your Own Apache MXNet and TensorFlow Scripts to Amazon SageMaker (AIM350) - AWS re:Invent 2018 | PPT
Amazon SageMaker
Making Amazon SageMaker and TensorFlow Work for You — Mobileye guest post | by Julien Simon | Medium
Activate Next: Scaling cost effective architectures
Now use Pipe mode with CSV datasets for faster training on Amazon SageMaker built-in algorithms | AWS Machine Learning Blog
Multi-GPU and distributed training using Horovod in Amazon SageMaker Pipe mode | AWS Machine Learning Blog
Amazon SageMaker Fast File Mode. Methods for Streaming Training Data… | by Chaim Rand | Towards Data Science
Pytorch PIPE mode · Issue #711 · aws/sagemaker-python-sdk · GitHub
amazon-sagemaker-examples/sagemaker-python-sdk/keras_script_mode_pipe_mode_horovod/tensorflow_keras_CIFAR10.ipynb at main · aws/amazon-sagemaker-examples · GitHub
Demystifying Amazon SageMaker: Part 1 - DEV Community
Using Pipe input mode for Amazon SageMaker algorithms | AWS Machine Learning Blog
How to Deploy Machine Learning Models using Amazon SageMaker
Safely deploying and monitoring Amazon SageMaker endpoints with AWS CodePipeline and AWS CodeDeploy | AWS Machine Learning Blog
Transfer Learning with Amazon SageMaker and FSx for Lustre | by Sayon | Medium
Using Pipe input mode for Amazon SageMaker algorithms | AWS Machine Learning Blog
AWS SageMaker
Amazon SageMaker Processing — sagemaker 1.50.11 documentation
Amazon SageMaker Fast File Mode. Methods for Streaming Training Data… | by Chaim Rand | Towards Data Science
Using the Git workflow in Amazon SageMaker Pipelines - AWS re:Invent 2020 - YouTube
AWS SageMaker
Using Pipe input mode for Amazon SageMaker algorithms | AWS Machine Learning Blog
Setup Sagemaker For Machine Learning CI/CD Pipelines
Train your models faster on AWS: Storage Medium | by Tanmay Rane | Medium
Using Pipe input mode for Amazon SageMaker algorithms | AWS Machine Learning Blog
