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.
See tensorflow.org for more information 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.2.4.0-ubi9 | docker pull icr.io/ibmz/tensorflow@sha256:f83f1537022058880bf505132afd09535afdc71fced991e160cbd0127cc07ea3 | Vulnerability Report | 07-24-2024 | 2.5.0 | docker pull icr.io/ibmz/tensorflow@sha256:f7358d3e6fa9f73d91cc497ef0674af9da4efa73cbde5bb8522660a1aed3833c | Vulnerability Report | 08-11-2021 | 2.9.1-jammy | docker pull icr.io/ibmz/tensorflow@sha256:bde2d5515ba953118a4e77455534308766b5d272f96ba0a78b2826be4923cafa | Vulnerability Report | 01-29-2023 | 2.5-opts | docker pull icr.io/ibmz/tensorflow@sha256:b8fae64cb8926e8d4acde8db3028f7dd1bd16f28c6faea1c9e7949003811d5b5 | Vulnerability Report | 03-16-2022 | 2.9.3-focal | docker pull icr.io/ibmz/tensorflow@sha256:b4af490e8a8cd0835d205dd2e28d19e61eac0c2ad07592ac9b0d6d555c5092c9 | Vulnerability Report | 02-01-2023 | 2.9.1-focal | docker pull icr.io/ibmz/tensorflow@sha256:61127e711fff3f227b2526758a44eae1b10df9d640329f109a2000f08611ddf4 | Vulnerability Report | 01-29-2023 | 2.9.3-jammy | docker pull icr.io/ibmz/tensorflow@sha256:52f89a61fe4bf9a74e6b95760ac5ad7aa99636ab35f668b0384516517d4990a5 | Vulnerability Report | 01-31-2023 | 2.7-opts-vector | docker pull icr.io/ibmz/tensorflow@sha256:45cac2a8cb88dabafead426cfa1f5fe2164a42bbbbbf669c9d889f431f29d695 | Vulnerability Report | 05-01-2022 | 2.4.0 | docker pull icr.io/ibmz/tensorflow@sha256:1fc79abfc9fada369b81f139206c46ed5deb95548c81dbc458306c12ca8dd35a | Vulnerability Report | 05-24-2021 |
Version | Pull String | Security (IBM Cloud) | Created |
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Exposed Ports: 8888
To start container from image & start an application in production mode:
docker run --name tensorflow -it icr.io/ibmz/tensorflow:[version] bash
Prouction mode with exposed ports:
docker run --name tensorflow -it -p 8888:8888 icr.io/ibmz/tensorflow:[version]