tensorflow.org


tensorflow.org Website Info

tensorflow.org (TensorFlow is an open-source platform developed by Google for building and deploying machine learning models. It provides a flexible ecosystem of tools, libraries, and community resources that enable researchers and developers to create sophisticated AI and deep learning applications efficiently.) was registered first at 2015-08-25 19:52:09. DNS looks Active and website looks Accessable. There is also a page about the tensorflow.org on Wikipedia.tensorflow.org Website SEMRush Rank is 15,419. tensorflow.org seems popular on facebook. According to Google, website speed score is 57/100 and AVERAGE. Website looks safe for children. We detected the website language as en.
tensorflow.org


tensorflow.org Website Tags

Domain Status:
✓ Active
Is Site Accessable?:
✓ Yes
SSL(https):
✓ Yes
Title:
TensorFlow - An end-to-end open-source platform for machine learning
Description:
TensorFlow offers a comprehensive ecosystem for developing machine learning models, including tools, libraries, and community support for researchers and developers.
Wiki:
Machine learning software library TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.TensorFlow was developed by the Google Brain team for internal Google use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released the updated version of TensorFlow, named TensorFlow 2.0, in September 2019.TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java. This flexibility lends itself to a range of applications in many different sectors. https://en.wikipedia.org/wiki/Tensorflow.org
Categories :
Software/Hardware, Information Technology
External Links:
4
Internal Links:
107
Mobile Friendly?:
✓ Yes
Canonical URL:
https://www.tensorflow.org/
Language:
en
XML Sitemap:
✓ Yes
robots.txt:
✓ Yes https://www.tensorflow.org/robots.txt
Favicon:
✓ Yes

tensorflow.org Domain & Whois Details

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Domain Create Date:
2015-08-25 19:52:09
Domain Age:
9 years, 10 months, 8 days
Domain Expire Date:
2023-08-25T19:52:09Z
Domain Last Update Date:
2023-08-25T19:52:09Z
Domain Owner:
http://www.markmonitor.com - MarkMonitor Inc. - Registrant REDACTED FOR PRIVACY - Admin REDACTED FOR PRIVACY - Tech REDACTED FOR PRIVACY -
Server Type:
Google Frontend
Nameservers:
ns-cloud-c1.googledomains.com - ns-cloud-c2.googledomains.com - ns-cloud-c3.googledomains.com - ns-cloud-c4.googledomains.com -
Hosting Location:
Country:United States, City:Haverstraw, Isp:Google LLC, Org:Google LLC
IP:
142.250.72.110

tensorflow.org Backlinks & Rankings

SEMRush Rank:
15,419
Semrush Rank is a proprietary score that lets you find the domains that are getting the most traffic from organic search.
SEMRush Traffic:
151,601
Number of users expected to visit the website during the following month.
SEMRush Costs:
200,084
Estimated price of organic keywords in Google AdWords.
SEMRush URL Links:
69,060
Number of links to URL according to SemRush.
SEMRush Website Links:
1,340,115
Number of links to the website according to SemRush.
SEMRush Domain Links:
5,048,373
Number of links to SemRush Domain.
SEMRush Keywords In Top 100:
62,358
Number of keywords where site in Google's organic search top 100.

tensorflow.org Social Media

Facebook Comments:
4,217
Facebook Shares:
6,575
Facebook Reactions:
9,281

tensorflow.org Website Speed (Desktop)

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Overall Category:
AVERAGE
The human readable speed "category"
Speed Index:
57
Speed Index shows how quickly the contents of a page are visibly populated. [Learn more about the Speed Index metric].
Cumulative Layout Shift (CLS):
0.11 (AVERAGE)
The Cumulative Layout Shift (CLS) metric measures how much unexpected layout shifts affect the user experience on a page. These layout shifts occur when content moves around without prior user input. CLS
Time to First Byte (TTFB):
1.01 s (AVERAGE)
TTFB (time to first byte) is the number of milliseconds it takes for a client’s browser to receive the first byte of the response from the web server. Usually, TTFB can be improved with faster hosting and server optimizations. TTFB
First Input Delay (FID):
3 ms (FAST)
First Input Delay (FID) measures the time from when the user interacts with your site for the first time (click a link, tap on a button, etc.) to the time when the browser is able to respond to that interaction. Google recommends keeping FID below 100ms for a good user experience. FID
First Contentful Paint (FCP):
1.905 s (AVERAGE)
FCP (First Contentful Paint) measures the time from a user’s navigation to when the browser renders the first bit of content from the DOM. In other words, FCP marks the time at which the first text or image is painted for the user. According to PageSpeed Insights, FCP should occur in under 2 seconds. FCP
Interaction to Next Paint (INP):
78 ms (FAST)
Interaction to Next Paint (INP) is a web performance metric that measures user interface responsiveness – how quickly a website responds to user interactions like clicks or key presses. Specifically, it measures how much time elapses between a user interaction like a click or key press and the next time the user sees a visual update on the page. INP
Largest Contentful Paint (LCP):
2.459 s (FAST)
Largest Contentful Paint (LCP) is a metric that measures when the largest content in the viewport is rendered. It is used to measure how long it takes for the main content of your webpage to appear on the screen. Everything below 2.5s is considered good LCP time by PageSpeed Insights. LCP
Total Size:
13994 KB
Total Size. Large network payloads cost users real money and are highly correlated with long load times.
Server Response Time:
601 ms
Initial server response time. Keep the server response time for the main document short because all other requests depend on it. [Learn more about the Time to First Byte metric](https://developer.chrome.com/docs/lighthouse/performance/time-to-first-byte/).
Final Url:
https://www.tensorflow.org/
Canonicalized and final URL for the document, after following page redirects (if any).
Last Date Checked:
5/31/2023 12:12:41 AM
The last time we checked this website.

tensorflow.org HTML Resources

Type
Request Count
Size
Total
130
13,994 KB
Image
26
11,128 KB
Third-party
101
2,694 KB
Script
56
1,871 KB
Stylesheet
16
458 KB
Font
9
378 KB
Document
6
109 KB
Other
17
48 KB
Media
0
0 KB

tensorflow.org Website Safety

Refresh
Last Check Date:
2/15/2023 12:45:30 PM
Fortiguard:
Information Technology
Mcafee Category:
Software/Hardware
OpenDNS:
notdecidedyet
Cloudflare DNS:
OK
MyWot Child Safety:
96

tensorflow.org HTTP Headers

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Cache-Control :
no-cache, must-revalidate
Content-Length :
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Content-Security-Policy :
base-uri 'self'; object-src 'none'; script-src 'st
Content-Type :
text/html; charset=utf-8
Date :
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expires :
0
Last-Modified :
Thu, 27 Apr 2023 20:38:06 GMT
Pragma :
no-cache
Server :
Google Frontend
Set-Cookie :
_ga_devsite=GA1.3.675738348.1683921610; Expires=Su
strict-transport-security :
max-age=63072000; includeSubdomains; preload
X-Cloud-Trace-Context :
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x-content-type-options :
nosniff
X-Frame-Options :
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x-xss-protection :
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tensorflow.org W3C HTML Validation Check Now

Last Check Date:
5/27/2023 12:00:00 AM
Errors:
318
Warnings:
0
Info:
23

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tensorflow.org Site Keywords

ARTIFICIAL INTELLIGENCE
deep learning
docType:Product
machine learning
magenta
neural networks
open-source
tensor flow
tensorflow
tensorflow js
tensorflow tutorial

tensorflow.org Site H Tags

Check Now
h1
Create production-grade machine learning models with TensorFlow
h2
An end-to-end machine learning platform
h2
Solve real-world problems with ML
h2
Build ML applications faster with TensorFlow
h2
Deploy anywhere, at any scale
h2
Join the TensorFlow community
h2
Not sure where to start?
h2
Start building with TensorFlow
h3
Stay connected
h3
Support
h3
Get involved
h3
Learn from experts
h3
Start building together
h4
On the web
h4
On mobile and edge
h4
On servers
h4
Find pre-trained models
h4
Research with state-of-the-art models
h4
Build your own models
h4
Find solutions to accelerate machine learning tasks at every stage of your workflow.
h4
Prepare data
h4
Build ML models
h4
Deploy models
h4
Implement MLOps
h4
Use pre-trained models or train your own
h4
Find ML solutions for every skill level
h4
Go from research to production

tensorflow.org Sites with Same Names

Website
Title
Rank
Page not found · GitHub Pages
6,065,648
텐서 플로우 블로그 (Tensor ≈ Blog) | 머신러닝(Machine Learning), 딥러닝(Deep Learning) 그리고 텐서(Tensor) 또 파이썬(Python)
1,562,620

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