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Paper

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

by Martín Abadi arxiv/1603.04467

Free2AITools Nexus Index

20.3

S: Semantic 50

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A: Authority 0

P: Popularity 0

R: Recency 0

Q: Quality 60

Tech Context

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TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines and thousands of computational devices such as GPU cards. The system is flexible and can be used to express a wide variety of algo...

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Paper Information Summary
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Registry ID	1603.04467
License	arXiv
Provider	arxiv

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BibTeX

@misc{arxiv_1603_04467,
  author = {Martín Abadi},
  title = {TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/1603.04467}},
  note = {Accessed via Free2AITools.}
}

APA Style

Martín Abadi. (2026). TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems [Paper]. Free2AITools. https://arxiv.org/abs/1603.04467

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Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 0

Recency (R) 0

Quality (Q) 60

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FNI V2.0 for TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems: Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed with little or no change on a wide variety of heterogeneous systems, ranging from mobile devices such as phones and tablets up to large-scale distributed systems of hundreds of machines and thousands of computational devices such as GPU cards. The system is flexible and can be used to express a wide variety of algo..."

❝ Cite Node

@article{Abadi2026TensorFlow:,
  title={TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems},
  author={Martín Abadi},
  journal={arXiv preprint arXiv:1603.04467},
  year={2026}
}

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Martín Abadi

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Read the full paper on arXiv

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🆔 Identity & Source

id: 1603.04467
slug: 1603.04467
source: arxiv
author: Martín Abadi
license: arXiv
tags: arxiv:cs.DC, arxiv:cs.LG

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params billions: null
context length: null
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