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TensorFlow is an end-to-end open source platform for machine learning/deep learning (ML/DL). It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers and developers easily build and deploy ML/DL models and applications. TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backward compatible API for other languages.

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This image is built by IBM to run on the IBM Z architecture and is not affiliated with any other community that provides a version of this image.


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As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).

As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.


Use the pull string below for the version of this image you require.
2.5.0 docker pull Vulnerability Report08-11-2021
2.9.1-jammy docker pull Vulnerability Report01-29-2023
2.5-opts docker pull Vulnerability Report03-16-2022
2.9.3-focal docker pull Vulnerability Report02-01-2023
2.9.1-focal docker pull Vulnerability Report01-29-2023
2.9.3-jammy docker pull Vulnerability Report01-31-2023
2.7-opts-vector docker pull Vulnerability Report05-01-2022
2.4.0 docker pull Vulnerability Report05-24-2021
Version Pull String Security (IBM Cloud) Created

Usage Notes

Exposed Ports: 8888

To start container from image & start an application in production mode:

docker run --name tensorflow -it[version] bash

Prouction mode with exposed ports:

docker run --name tensorflow -it -p 8888:8888[version]