TensorFlow

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Machine learning software library

TensorFlow is a software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for training and inference of neural networks. It is one of the most popular deep learning frameworks, alongside others such as PyTorch. It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released an updated version, TensorFlow 2.0, in September 2019. TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java, facilitating its use in a range of applications in many sectors.

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TensorFlowcom/tensorflow/tensorflow/tensorflow/go - pkg.go.dev". pkg.go.dev. Archived from the original on November 6, 2021. Retrieved November 6, 2021. "Swift for TensorFlowBest match TensorFlow HubRetrieved October 13, 2025. "TensorFlow Hub: overview", TensorFlow, retrieved from https://www.tensorflow.org/hub/overview Daniel Cer (2018). "Universal Sentence Tensor Processing Unitcircuit (ASIC) developed by Google for neural network machine learning. Tensorflow, Jax, and PyTorch are supported frameworks for TPU. Google began using TensorRTGPUs. In 2018, Google announced integration of Nvidia TensorRT with TensorFlow 1.7, describing TensorRT as a library that optimizes deep learning models Jeff Deantrain deep belief networks. DistBelief was eventually refactored into TensorFlow, an open-source machine-learning software library, for which he was among Cirqquantum simulation algorithms to Cirq. TensorFlow Quantum is an extension of TensorFlow that allows TensorFlow to be used to explore hybrid classical-quantum Attention Is All You Need"reference implementation" of the original Transformer was written in a TensorFlow library. In language modelling, ELMo (2018) was a bi-directional LSTM Accelerated Linear Algebracan be used by major deep learning frameworks like JAX, PyTorch, and TensorFlow. The project focuses on supplying shared components for optimization,

Article table of contents 36 sections

1 History

1.1 DistBelief

1.2 TensorFlow

1.3 Tensor processing unit (TPU)

1.4 Edge TPU

1.5 TensorFlow Lite

1.6 TensorFlow 2.0

2 Features

2.1 AutoDifferentiation

2.2 Eager execution

2.3 Distribute

2.4 Losses

2.5 Metrics

2.6 TF.nn

2.7 Optimizers

3 Usage and extensions

3.1 TensorFlow

3.2 TensorFlow.js

3.3 LiteRT

3.4 TFX

3.5 Integrations

3.5.1 Numpy

3.6 Extensions

3.6.1 Google Colab

3.6.2 Google JAX

4 Applications

4.1 Medical

4.2 Social media

4.3 Search Engine

4.4 Education

Categories

2015 softwareDeep learning softwareFree software programmed in C++Free software programmed in PythonFree statistical softwareGoogle softwareOpen-source artificial intelligencePython (programming language) scientific librariesSoftware using the Apache license

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8-bit AAAI Conference on Artificial Intelligence AI accelerator (computer hardware)API Accelerated Mobile Pages Activation function Active learning (machine learning)Adagrad Adam (optimization algorithm)Alberto Ciaramella AlexNet AlphaDev AlphaFold AlphaGenome AlphaGeometry AlphaGo

External references

download.tensorflow.org www.wired.com github.com www.wired.com www.youtube.com cloudplatform.googleblog.com www.blog.google www.theverge.com github.com github.com github.com github.com

Recent revisions

~2026-35834-71Jun 20, 2026 10:12 PM

SwatjesterJun 16, 2026 3:59 AM — Mass-rollback of LLM-generated edits.

GhostOrbitJun 15, 2026 7:31 PM — Add Military and defense subsection to Applications: TensorFlow Lite used in Ukraine's Operation Sp…

SkarzJun 9, 2026 5:46 PM — Rescuing 1 sources and tagging 0 as dead.) #IABot (v2.0.9.5

Wikideas1Apr 23, 2026 11:50 PM — /* See also */ TensorRT

Wikideas1Apr 16, 2026 5:21 AM — /* See also */ Comparison of machine learning software

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