5.8 sec in total
151 ms
3.6 sec
2.1 sec
Visit deeplearnjs.org now to see the best up-to-date Deeplearn Js content for United States and also check out these interesting facts you probably never knew about deeplearnjs.org
Train and deploy models in the browser, Node.js, or Google Cloud Platform. TensorFlow.js is an open source ML platform for Javascript and web development.
Visit deeplearnjs.orgWe analyzed Deeplearnjs.org page load time and found that the first response time was 151 ms and then it took 5.7 sec to load all DOM resources and completely render a web page. This is a poor result, as 75% of websites can load faster.
deeplearnjs.org performance score
name
value
score
weighting
Value5.1 s
8/100
10%
Value6.8 s
7/100
25%
Value6.1 s
45/100
10%
Value780 ms
38/100
30%
Value0
100/100
15%
Value10.4 s
24/100
10%
151 ms
168 ms
375 ms
198 ms
245 ms
Our browser made a total of 44 requests to load all elements on the main page. We found that 2% of them (1 request) were addressed to the original Deeplearnjs.org, 36% (16 requests) were made to Tensorflow.org and 20% (9 requests) were made to Fonts.gstatic.com. The less responsive or slowest element that took the longest time to load (1.3 sec) relates to the external source Fonts.gstatic.com.
Page size can be reduced by 1.1 MB (76%)
1.5 MB
353.5 kB
In fact, the total size of Deeplearnjs.org main page is 1.5 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 75% of websites need less resources to load and that’s why Accessify’s recommendations for optimization and resource minification can be helpful for this project. CSS take 853.5 kB which makes up the majority of the site volume.
Potential reduce by 236.1 kB
HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 236.1 kB or 84% of the original size.
Potential reduce by 0 B
Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Deeplearn Js images are well optimized though.
Potential reduce by 131.4 kB
It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 131.4 kB or 66% of the original size.
Potential reduce by 730.8 kB
CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Deeplearnjs.org needs all CSS files to be minified and compressed as it can save up to 730.8 kB or 86% of the original size.
Number of requests can be reduced by 10 (34%)
29
19
The browser has sent 29 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Deeplearn Js. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 8 to 1 for JavaScripts and from 4 to 1 for CSS and as a result speed up the page load time.
deeplearnjs.org
151 ms
js.tensorflow.org
168 ms
375 ms
css
198 ms
app.css
245 ms
css
232 ms
lockup.svg
210 ms
8poKOxl6j8U
790 ms
learn-js-hero.svg
95 ms
js-run.svg
733 ms
js-retrain.svg
729 ms
js-develop.svg
734 ms
tile_piano.jpg
738 ms
tile_webcam.jpg
737 ms
tile_lip_sync_demo.jpg
737 ms
tile_lip_sync_tensorflow_js.png
763 ms
tile_show_tell.png
762 ms
tile_tfjs_card.png
758 ms
tile_distilbert_nlp.png
760 ms
tile_community_card_hero.jpg
760 ms
app_loader.js
234 ms
hero-river-bg-left.svg
160 ms
hero-river-bg-right.svg
153 ms
footer-lines.svg
192 ms
www-player.css
96 ms
www-embed-player.js
203 ms
base.js
538 ms
fetch-polyfill.js
289 ms
KFOmCnqEu92Fr1Mu4mxP.ttf
482 ms
KFOlCnqEu92Fr1MmEU9fBBc9.ttf
662 ms
KFOlCnqEu92Fr1MmWUlfBBc9.ttf
1046 ms
flUhRq6tzZclQEJ-Vdg-IuiaDsNZ.ttf
1307 ms
4UabrENHsxJlGDuGo1OIlLV154tzCwM.ttf
1161 ms
4UabrENHsxJlGDuGo1OIlLU94YtzCwM.ttf
1166 ms
4UaGrENHsxJlGDuGo1OIlL3Owps.ttf
1153 ms
webcomponents-lite.js
203 ms
polyfills.js
199 ms
devsite_app_module.js
850 ms
id
893 ms
ad_status.js
890 ms
mSp3U9l-INQ8zgil2b5R5d6tn3Jbttl0KpPyUXLighs.js
737 ms
embed.js
147 ms
KFOmCnqEu92Fr1Mu4mxP.ttf
262 ms
KFOlCnqEu92Fr1MmEU9fBBc9.ttf
263 ms
deeplearnjs.org accessibility score
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
Heading elements are not in a sequentially-descending order
Best practices
These items highlight common accessibility best practices.
Impact
Issue
[user-scalable="no"] is used in the <meta name="viewport"> element or the [maximum-scale] attribute is less than 5.
deeplearnjs.org best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
deeplearnjs.org SEO score
Mobile Friendly
Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).
Impact
Issue
Document uses legible font sizes
Tap targets are not sized appropriately
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Deeplearnjs.org can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Deeplearnjs.org main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.
deeplearnjs.org
Open Graph data is detected on the main page of Deeplearn Js. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: