2.7 sec in total
81 ms
1.1 sec
1.5 sec
Visit fall2019.fullstackdeeplearning.com now to see the best up-to-date Fall 2019 Full Stack Deep Learning content for United States and also check out these interesting facts you probably never knew about fall2019.fullstackdeeplearning.com
Full Stack Deep Learning helps you bridge the gap from training machine learning models to deploying AI systems in the real world.
Visit fall2019.fullstackdeeplearning.comWe analyzed Fall2019.fullstackdeeplearning.com page load time and found that the first response time was 81 ms and then it took 2.6 sec to load all DOM resources and completely render a web page. This is a poor result, as 50% of websites can load faster.
fall2019.fullstackdeeplearning.com performance score
name
value
score
weighting
Value3.7 s
29/100
10%
Value5.8 s
15/100
25%
Value11.4 s
5/100
10%
Value4,200 ms
1/100
30%
Value0.026
100/100
15%
Value45.8 s
0/100
10%
81 ms
90 ms
22 ms
150 ms
414 ms
Our browser made a total of 32 requests to load all elements on the main page. We found that 3% of them (1 request) were addressed to the original Fall2019.fullstackdeeplearning.com, 22% (7 requests) were made to Fonts.gstatic.com and 16% (5 requests) were made to Gstatic.com. The less responsive or slowest element that took the longest time to load (414 ms) relates to the external source Badges.gitter.im.
Page size can be reduced by 749.7 kB (26%)
2.9 MB
2.2 MB
In fact, the total size of Fall2019.fullstackdeeplearning.com main page is 2.9 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. 60% of websites need less resources to load. Images take 2.3 MB which makes up the majority of the site volume.
Potential reduce by 217.8 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. 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 217.8 kB or 50% of the original size.
Potential reduce by 526.4 kB
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. Obviously, Fall 2019 Full Stack Deep Learning needs image optimization as it can save up to 526.4 kB or 23% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.
Potential reduce by 75 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.
Potential reduce by 5.4 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. Fall2019.fullstackdeeplearning.com needs all CSS files to be minified and compressed as it can save up to 5.4 kB or 15% of the original size.
Number of requests can be reduced by 7 (37%)
19
12
The browser has sent 19 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Fall 2019 Full Stack Deep Learning. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 4 to 1 for JavaScripts and from 5 to 1 for CSS and as a result speed up the page load time.
fall2019.fullstackdeeplearning.com
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public-2TWSXW3Y.css
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embed.js
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fsdl-course.svg
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viewform
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Roboto-Bold.woff
84 ms
Roboto-Black.woff
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Roboto-Medium.woff
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Roboto-Regular.woff
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repo.svg
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icon
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rs=AMjVe6gz-Sjxdzvjnl2_8SYlQmr_h8KeWw
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css
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m=viewer_base
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71 ms
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13 ms
fall2019.fullstackdeeplearning.com accessibility score
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-*] attributes do not match their roles
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
<frame> or <iframe> elements do not have a title
Tables and lists
These are opportunities to improve the experience of reading tabular or list data using assistive technology, like a screen reader.
Impact
Issue
Lists do not contain only <li> elements and script supporting elements (<script> and <template>).
List items (<li>) are not contained within <ul> or <ol> parent elements.
fall2019.fullstackdeeplearning.com best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
General
Impact
Issue
Browser errors were logged to the console
Missing source maps for large first-party JavaScript
Issues were logged in the Issues panel in Chrome Devtools
fall2019.fullstackdeeplearning.com 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
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Fall2019.fullstackdeeplearning.com 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 Fall2019.fullstackdeeplearning.com 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.
fall2019.fullstackdeeplearning.com
Open Graph description is not detected on the main page of Fall 2019 Full Stack 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: