This is the Linux app named SageMaker TensorFlow Training Toolkit whose latest release can be downloaded as v20.4.1.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
SageMaker TensorFlow Training Toolkit
DESCRIPTION:
Toolkit for running TensorFlow training scripts on SageMaker. SageMaker TensorFlow Training Toolkit is an open-source library for using TensorFlow to train models on Amazon SageMaker. To use your TensorFlow Serving model on SageMaker, you first need to create a SageMaker Model. After creating a SageMaker Model, you can use it to create SageMaker Batch Transform Jobs for offline inference, or create SageMaker Endpoints for real-time inference. A SageMaker Model contains references to a model.tar.gz file in S3 containing serialized model data, and a Docker image used to serve predictions with that model. A Batch Transform job runs an offline-inference job using your TensorFlow Serving model. Input data in S3 is converted to HTTP requests, and responses are saved to an output bucket in S3.
Features
- Dockerfiles used for building SageMaker TensorFlow Containers
- SageMaker TensorFlow Training Toolkit is licensed under the Apache 2.0 License
- Open-source library
- Use TensorFlow to train models on Amazon SageMaker
- Notebook examples
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/sagemaker-tflow-t-tool.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.