84 ms in total
12 ms
22 ms
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Welcome to deeplearning.ai homepage info - get ready to check Deep Learning best content for India right away, or after learning these important things about deeplearning.ai
DeepLearning.AI | Andrew Ng | Join over 7 million people learning how to use and build AI through our online courses. Earn certifications, level up your skills, and stay ahead of the industry.
Visit deeplearning.aiWe analyzed Deeplearning.ai page load time and found that the first response time was 12 ms and then it took 72 ms to load all DOM resources and completely render a web page. This is an excellent result, as only a small number of websites can load faster.
deeplearning.ai performance score
name
value
score
weighting
Value2.2 s
76/100
10%
Value2.6 s
87/100
25%
Value4.4 s
74/100
10%
Value980 ms
28/100
30%
Value0.011
100/100
15%
Value15.1 s
7/100
10%
12 ms
Our browser made a total of 1 request to load all elements on the main page. We found that all of those requests were addressed to Deeplearning.ai and no external sources were called. The less responsive or slowest element that took the longest time to load (12 ms) belongs to the original domain Deeplearning.ai.
Page size can be reduced by 16 B (14%)
118 B
102 B
In fact, the total size of Deeplearning.ai main page is 118 B. This result falls within the top 5000 of lightweight and thus fast loading web pages. Only a small number of websites need less resources to load. HTML takes 118 B which makes up the majority of the site volume.
Potential reduce by 16 B
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 16 B or 14% of the original size.
We found no issues to fix!
0
0
Besides the initial HTML request, no CSS, Javascripts, AJAX or image files were requested in the course of web page rendering.
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deeplearning.ai accessibility score
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
Buttons do not have an accessible name
Form elements do not have associated labels
Links do not have a discernible name
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
Navigation
These are opportunities to improve keyboard navigation in your application.
Impact
Issue
[id] attributes on active, focusable elements are not unique
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
deeplearning.ai best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
User Experience
Impact
Issue
Displays images with incorrect aspect ratio
General
Impact
Issue
Detected JavaScript libraries
Page has valid source maps
deeplearning.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
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
EN
N/A
N/A
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Deeplearning.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 Deeplearning.ai main page’s claimed encoding is . Changing it to UTF-8 can be a good choice, as this format is commonly used for encoding all over the web and thus their visitors won’t have any troubles with symbol transcription or reading.
{{og_description}}
deeplearning.ai
Open Graph description is not detected on the main page of Deep Learning. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: