462 ms in total
50 ms
303 ms
109 ms
Visit caffe2.ai now to see the best up-to-date Caffe2 content for United States and also check out these interesting facts you probably never knew about caffe2.ai
A New Lightweight, Modular, and Scalable Deep Learning Framework
Visit caffe2.aiWe analyzed Caffe2.ai page load time and found that the first response time was 50 ms and then it took 412 ms to load all DOM resources and completely render a web page. This is an excellent result, as only 5% of websites can load faster.
caffe2.ai performance score
name
value
score
weighting
Value1.9 s
88/100
10%
Value2.5 s
89/100
25%
Value1.9 s
100/100
10%
Value780 ms
38/100
30%
Value0
100/100
15%
Value5.2 s
74/100
10%
50 ms
31 ms
24 ms
43 ms
84 ms
Our browser made a total of 10 requests to load all elements on the main page. We found that 70% of them (7 requests) were addressed to the original Caffe2.ai, 20% (2 requests) were made to Cdn.jsdelivr.net and 10% (1 request) were made to Google-analytics.com. The less responsive or slowest element that took the longest time to load (85 ms) belongs to the original domain Caffe2.ai.
Page size can be reduced by 9.9 kB (29%)
34.3 kB
24.5 kB
In fact, the total size of Caffe2.ai main page is 34.3 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 25% of websites need less resources to load. Javascripts take 21.0 kB which makes up the majority of the site volume.
Potential reduce by 9.8 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. This page needs HTML code to be minified as it can gain 2.6 kB, which is 19% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 9.8 kB or 74% of the original size.
Potential reduce by 50 B
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. This website has mostly compressed JavaScripts.
We found no issues to fix!
6
6
The browser has sent 6 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Caffe2. According to our analytics all requests are already optimized.
caffe2.ai
50 ms
main.css
31 ms
docsearch.min.css
24 ms
docsearch.min.js
43 ms
jekyll-link-anchors.js
84 ms
logo.svg
85 ms
LatoLatin-Regular.woff
48 ms
LatoLatin-Light.woff
47 ms
LatoLatin-Black.woff
45 ms
analytics.js
27 ms
caffe2.ai accessibility score
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
ARIA
These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
ARIA IDs are not unique
Internationalization and localization
These are opportunities to improve the interpretation of your content by users in different locales.
Impact
Issue
<html> element does not have a [lang] attribute
Names and labels
These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.
Impact
Issue
Image elements do not have [alt] attributes
Links do not have a discernible name
caffe2.ai best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
caffe2.ai SEO score
Content Best Practices
Format your HTML in a way that enables crawlers to better understand your app’s content.
Impact
Issue
Links do not have descriptive text
Image elements do not have [alt] attributes
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
N/A
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Caffe2.ai can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and neither this language nor any other was claimed in <html> or <meta> tags. Our system also found out that Caffe2.ai 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.
caffe2.ai
Open Graph data is detected on the main page of Caffe2. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: