tensorflow | A fork of the Mozilla fork of Tensorflow

by artie-inc C++ Version: Current License: Apache-2.0

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kandi X-RAY | tensorflow Summary

tensorflow is a C++ library. tensorflow has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

TensorFlow is an open source software library for numerical computation using data flow graphs. The graph nodes represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture enables you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence Research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well. TensorFlow provides stable Python and C APIs as well as non-guaranteed backwards compatible API's for C++, Go, Java, JavaScript and Swift. Keep up to date with release announcements and security updates by subscribing to announce@tensorflow.org.

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Support

tensorflow has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

tensorflow has no issues reported. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow is current.

Quality

tensorflow has no bugs reported.

Security

tensorflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tensorflow is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tensorflow releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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tensorflow Key Features

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tensorflow Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install tensorflow

To install the current release for CPU-only:.
We are pleased to announce that TensorFlow now offers nightly pip packages under the tf-nightly and tf-nightly-gpu project on pypi. Simply run pip install tf-nightly or pip install tf-nightly-gpu in a clean environment to install the nightly TensorFlow build. We support CPU and GPU packages on Linux, Mac, and Windows.