TensorFlow (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "TensorFlow" in Chinese language version.

refsWebsite

Global rank Chinese rank

30web.archive.org

1^st place

9github.com

383^rd place

336^th place

8tensorflow.org

low place

2youtube.com

9^th place

2^nd place

2wired.com

193^rd place

421^st place

1studygolang.com

low place

1techcrunch.com

187^th place

481^st place

1slate.com

259^th place

738^th place

1csmonitor.com

791^st place

1,198^th place

1googleblog.com

1,272^nd place

2,099^th place

1blog.google

2,218^th place

5,303^rd place

1theverge.com

114^th place

276^th place

1thegradient.pub

low place

1godoc.org

low place

1vice.com

175^th place

714^th place

1dailymail.co.uk

219^th place

201^st place

blog.google

Build and train machine learning models on our new Google Cloud TPUs. Google. 2017-05-17 [2017-05-18]. （原始内容存档于2017-05-17）（英语）.

csmonitor.com

Google chairman: We’re making 'real progress' on artificial intelligence. 2015-11-25 [2015-11-25]. （原始内容存档于2015-11-25）.

dailymail.co.uk

Google releases TensorFlow – Search giant makes its artificial intelligence software available to the public. 2015-11-25 [2015-11-25]. （原始内容存档于2015-11-25）.

github.com

TensorFlow 2.14.0-rc1 Pre-release. 2023年8月28日 [2023年9月18日].
Release 2.15.0. 2023年11月14日 [2023年11月19日].
Haskell（页面存档备份，存于互联网档案馆）
Rust（页面存档备份，存于互联网档案馆）
C#（页面存档备份，存于互联网档案馆）
.NET Core（页面存档备份，存于互联网档案馆）
Julia（页面存档备份，存于互联网档案馆）
R（页面存档备份，存于互联网档案馆）
Scala（页面存档备份，存于互联网档案馆）

godoc.org

Go（页面存档备份，存于互联网档案馆）

googleblog.com

cloudplatform.googleblog.com

Google supercharges machine learning tasks with TPU custom chip. [2016-05-19]. （原始内容存档于2016-05-18）.

slate.com

What Is TensorFlow, and Why Is Google So Excited About It?. 2015-11-11 [2015-11-11]. （原始内容存档于2015-11-10）.

studygolang.com

Google 为 TensorFlow 启用 tensorflow.google.cn 域名. [2020-11-08]. （原始内容存档于2020-11-16）.

techcrunch.com

Google Open-Sources The Machine Learning Tech Behind Google Photos Search, Smart Reply And More. 2015-11-09 [2015-11-11]. （原始内容存档于2015-11-10）.

tensorflow.org

Credits. [2015-11-10]. （原始内容存档于2015-11-17）.
TensorFlow Core | Machine Learning for Beginners and Experts. TensorFlow. [2021-11-04]. （原始内容存档于2023-01-20）（英语）.
Introduction to TensorFlow. TensorFlow. [2021-10-28]. （原始内容存档于2023-01-20）（英语）.
Python. [2022-12-12]. （原始内容存档于2022-09-05）.
C++. [2022-12-12]. （原始内容存档于2023-01-20）.
Java（页面存档备份，存于互联网档案馆）

download.tensorflow.org

TensorFlow: Large-scale machine learning on heterogeneous systems (PDF). Google Research. 2015-11-09 [2015-11-10]. （原始内容存档 (PDF)于2015-11-20）.

blog.tensorflow.org

TensorFlow 2.0 is now available!. TensorFlow Blog. 30 September 2019 [22 May 2020]. （原始内容存档于2019-10-30）.

thegradient.pub

He, Horace. The State of Machine Learning Frameworks in 2019. The Gradient. 10 October 2019 [22 May 2020]. （原始内容存档于2019-10-10）.

theverge.com

Google’s new machine learning framework is going to put more AI on your phone. [2018-01-14]. （原始内容存档于2017-08-22）.

vice.com

motherboard.vice.com

Google Offers Up Its Entire Machine Learning Library as Open-Source Software. 2015-11-11 [2015-11-11]. （原始内容存档于2015-11-23）.

web.archive.org

Credits. [2015-11-10]. （原始内容存档于2015-11-17）.
Google 为 TensorFlow 启用 tensorflow.google.cn 域名. [2020-11-08]. （原始内容存档于2020-11-16）.
"TensorFlow: Open source machine learning" （页面存档备份，存于互联网档案馆） "It is machine learning software being used for various kinds of perceptual and language understanding tasks" — Jeffrey Dean, minute 0:47 / 2:17 from Youtube clip
TensorFlow: Large-scale machine learning on heterogeneous systems (PDF). Google Research. 2015-11-09 [2015-11-10]. （原始内容存档 (PDF)于2015-11-20）.
Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine. 2015-11-09 [2015-11-10]. （原始内容存档于2015-11-10）.
Google Open-Sources The Machine Learning Tech Behind Google Photos Search, Smart Reply And More. 2015-11-09 [2015-11-11]. （原始内容存档于2015-11-10）.
What Is TensorFlow, and Why Is Google So Excited About It?. 2015-11-11 [2015-11-11]. （原始内容存档于2015-11-10）.
Google chairman: We’re making 'real progress' on artificial intelligence. 2015-11-25 [2015-11-25]. （原始内容存档于2015-11-25）.
Metz, Cade. TensorFlow, Google's Open Source AI , Points to a Fast-Changing Hardware World. 2015-11-10 [2015-11-11]. （原始内容存档于2015-11-11）.
Machine Learning: Google I/O 2016 Minute 07:30/44:44 （页面存档备份，存于互联网档案馆） accessdate=2016-06-05
Google supercharges machine learning tasks with TPU custom chip. [2016-05-19]. （原始内容存档于2016-05-18）.
Build and train machine learning models on our new Google Cloud TPUs. Google. 2017-05-17 [2017-05-18]. （原始内容存档于2017-05-17）（英语）.
Google’s new machine learning framework is going to put more AI on your phone. [2018-01-14]. （原始内容存档于2017-08-22）.
He, Horace. The State of Machine Learning Frameworks in 2019. The Gradient. 10 October 2019 [22 May 2020]. （原始内容存档于2019-10-10）.
TensorFlow 2.0 is now available!. TensorFlow Blog. 30 September 2019 [22 May 2020]. （原始内容存档于2019-10-30）.
TensorFlow Core | Machine Learning for Beginners and Experts. TensorFlow. [2021-11-04]. （原始内容存档于2023-01-20）（英语）.
Introduction to TensorFlow. TensorFlow. [2021-10-28]. （原始内容存档于2023-01-20）（英语）.
Python. [2022-12-12]. （原始内容存档于2022-09-05）.
C++. [2022-12-12]. （原始内容存档于2023-01-20）.
Haskell（页面存档备份，存于互联网档案馆）
Java（页面存档备份，存于互联网档案馆）
Go（页面存档备份，存于互联网档案馆）
Rust（页面存档备份，存于互联网档案馆）
C#（页面存档备份，存于互联网档案馆）
.NET Core（页面存档备份，存于互联网档案馆）
Julia（页面存档备份，存于互联网档案馆）
R（页面存档备份，存于互联网档案馆）
Scala（页面存档备份，存于互联网档案馆）
Google Offers Up Its Entire Machine Learning Library as Open-Source Software. 2015-11-11 [2015-11-11]. （原始内容存档于2015-11-23）.
Google releases TensorFlow – Search giant makes its artificial intelligence software available to the public. 2015-11-25 [2015-11-25]. （原始内容存档于2015-11-25）.

wired.com

Google Just Open Sourced TensorFlow, Its Artificial Intelligence Engine. 2015-11-09 [2015-11-10]. （原始内容存档于2015-11-10）.
Metz, Cade. TensorFlow, Google's Open Source AI , Points to a Fast-Changing Hardware World. 2015-11-10 [2015-11-11]. （原始内容存档于2015-11-11）.

youtube.com

"TensorFlow: Open source machine learning" （页面存档备份，存于互联网档案馆） "It is machine learning software being used for various kinds of perceptual and language understanding tasks" — Jeffrey Dean, minute 0:47 / 2:17 from Youtube clip
Machine Learning: Google I/O 2016 Minute 07:30/44:44 （页面存档备份，存于互联网档案馆） accessdate=2016-06-05