Tools & Wizards About Us
course.fullstackdeeplearning.com screenshot

Report Summary

  • 17

    Performance

    Renders faster than
    32% of other websites

  • 85

    Accessibility

    Visual factors better than
    that of 58% of websites

  • 75

    Best Practices

    More advanced features
    available than in
    35% of websites

  • 100

    SEO

    Google-friendlier than
    94% of websites

course.fullstackdeeplearning.com

Full Stack Deep Learning - Full Stack Deep Learning

Page Load Speed

3.6 sec in total

First Response

270 ms

Resources Loaded

1.5 sec

Page Rendered

1.8 sec

course.fullstackdeeplearning.com screenshot

About Website

Welcome to course.fullstackdeeplearning.com homepage info - get ready to check Course Full Stack Deep Learning best content for United States right away, or after learning these important things about course.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 course.fullstackdeeplearning.com

Key Findings

We analyzed Course.fullstackdeeplearning.com page load time and found that the first response time was 270 ms and then it took 3.3 sec to load all DOM resources and completely render a web page. This is a poor result, as 60% of websites can load faster.

Performance Metrics

course.fullstackdeeplearning.com performance score

17

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value5.0 s

10/100

10%

LCP (Largest Contentful Paint)

Value7.7 s

3/100

25%

SI (Speed Index)

Value12.1 s

3/100

10%

TBT (Total Blocking Time)

Value4,100 ms

1/100

30%

CLS (Cumulative Layout Shift)

Value0.026

100/100

15%

TTI (Time to Interactive)

Value46.0 s

0/100

10%

Network Requests Diagram

course.fullstackdeeplearning.com

270 ms

fall2019.fullstackdeeplearning.com

63 ms

public-QSNFLOSN.css

66 ms

embed.js

107 ms

https%3A%2F%2F1405355556-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-legacy-files%2Fo%2Fspaces%252F-M9KFMkcxAsBjLOLvBni%252Favatar-1594310291800.png%3Fgeneration%3D1594310292463257%26alt%3Dmedia

133 ms

Our browser made a total of 33 requests to load all elements on the main page. We found that 3% of them (1 request) were addressed to the original Course.fullstackdeeplearning.com, 21% (7 requests) were made to Fonts.gstatic.com and 15% (5 requests) were made to App.gitbook.com. The less responsive or slowest element that took the longest time to load (421 ms) relates to the external source Badges.gitter.im.

Page Optimization Overview & Recommendations

Page size can be reduced by 763.0 kB (26%)

Content Size

3.0 MB

After Optimization

2.2 MB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Course.fullstackdeeplearning.com main page is 3.0 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. 65% of websites need less resources to load. Images take 2.3 MB which makes up the majority of the site volume.

HTML Optimization

-46%

Potential reduce by 231.2 kB

  • Original 502.6 kB
  • After minification 501.5 kB
  • After compression 271.4 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 231.2 kB or 46% of the original size.

Image Optimization

-23%

Potential reduce by 526.4 kB

  • Original 2.3 MB
  • After minification 1.8 MB

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, Course 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.

JavaScript Optimization

-0%

Potential reduce by 75 B

  • Original 158.5 kB
  • After minification 158.5 kB
  • After compression 158.5 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. This website has mostly compressed JavaScripts.

CSS Optimization

-15%

Potential reduce by 5.3 kB

  • Original 34.7 kB
  • After minification 34.7 kB
  • After compression 29.4 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. Course.fullstackdeeplearning.com needs all CSS files to be minified and compressed as it can save up to 5.3 kB or 15% of the original size.

Requests Breakdown

Number of requests can be reduced by 7 (37%)

Requests Now

19

After Optimization

12

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 19 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Course 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.

Network Requests Diagram

course.fullstackdeeplearning.com

course.fullstackdeeplearning.com

270 ms

fall2019.fullstackdeeplearning.com

fall2019.fullstackdeeplearning.com

63 ms

public-QSNFLOSN.css

public-QSNFLOSN.css

66 ms

embed.js

embed.js

107 ms

https%3A%2F%2F1405355556-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-legacy-files%2Fo%2Fspaces%252F-M9KFMkcxAsBjLOLvBni%252Favatar-1594310291800.png%3Fgeneration%3D1594310292463257%26alt%3Dmedia

https%3A%2F%2F1405355556-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-legacy-files%2Fo%2Fspaces%252F-M9KFMkcxAsBjLOLvBni%252Favatar-1594310291800.png%3Fgeneration%3D1594310292463257%26alt%3Dmedia

133 ms

fsdl-course.svg

fsdl-course.svg

421 ms

assets%2F-M9KFMkcxAsBjLOLvBni%2F-MARP8dTwO21RcciHOIM%2F-MARSVR92kMWjl-zXH4U%2Fimage.png

assets%2F-M9KFMkcxAsBjLOLvBni%2F-MARP8dTwO21RcciHOIM%2F-MARSVR92kMWjl-zXH4U%2Fimage.png

125 ms

2qnWiKh

2qnWiKh

47 ms

https%3A%2F%2F1405355556-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-legacy-files%2Fo%2Fspaces%252F-M9KFMkcxAsBjLOLvBni%252Favatar-1594310291800.png%3Fgeneration%3D1594310292463257%26alt%3Dmedia

https%3A%2F%2F1405355556-files.gitbook.io%2F~%2Ffiles%2Fv0%2Fb%2Fgitbook-legacy-files%2Fo%2Fspaces%252F-M9KFMkcxAsBjLOLvBni%252Favatar-1594310291800.png%3Fgeneration%3D1594310292463257%26alt%3Dmedia

105 ms

assets%2F-M9KFMkcxAsBjLOLvBni%2F-MBCwRsDuTHlgx7zglkP%2F-MBD1ytCnBgwV4vk2lu1%2FCleanShot%202020-07-01%20at%2022.41.53%402x.png

assets%2F-M9KFMkcxAsBjLOLvBni%2F-MBCwRsDuTHlgx7zglkP%2F-MBD1ytCnBgwV4vk2lu1%2FCleanShot%202020-07-01%20at%2022.41.53%402x.png

379 ms

assets%2F-M9KFMkcxAsBjLOLvBni%2F-MCOANNUpK3zM0Y-mOYN%2F-MCOAUVCoswh7X4CDZ_x%2FCleanShot%202020-07-16%20at%2012.49.50%402x.jpg

assets%2F-M9KFMkcxAsBjLOLvBni%2F-MCOANNUpK3zM0Y-mOYN%2F-MCOAUVCoswh7X4CDZ_x%2FCleanShot%202020-07-16%20at%2012.49.50%402x.jpg

220 ms

viewform

viewform

328 ms

Roboto-Bold.woff

Roboto-Bold.woff

68 ms

Roboto-Black.woff

Roboto-Black.woff

51 ms

Roboto-Medium.woff

Roboto-Medium.woff

165 ms

Roboto-Regular.woff

Roboto-Regular.woff

69 ms

repo.svg

repo.svg

96 ms

icon

icon

89 ms

rs=AMjVe6jzULTfkW5osKd1jFIAwWp0xpl2Tg

rs=AMjVe6jzULTfkW5osKd1jFIAwWp0xpl2Tg

25 ms

css

css

118 ms

css

css

142 ms

m=viewer_base

m=viewer_base

61 ms

googlelogo_dark_clr_74x24px.svg

googlelogo_dark_clr_74x24px.svg

92 ms

qp_sprite192.svg

qp_sprite192.svg

118 ms

KFOmCnqEu92Fr1Me5mZNCzc.woff

KFOmCnqEu92Fr1Me5mZNCzc.woff

124 ms

KFOlCnqEu92Fr1MmEU9vAB0_IsE.woff

KFOlCnqEu92Fr1MmEU9vAB0_IsE.woff

124 ms

KFOlCnqEu92Fr1MmSU5vAB0_IsE.woff

KFOlCnqEu92Fr1MmSU5vAB0_IsE.woff

134 ms

KFOlCnqEu92Fr1MmWUlvAB0_IsE.woff

KFOlCnqEu92Fr1MmWUlvAB0_IsE.woff

158 ms

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4Ua_rENHsxJlGDuGo1OIlJfC6l_24rlCK1Yo_Iqcsih3SAyH6cAwhX9RFD48TE63OOYKtrw2IKlhrSjiEwI6.woff

216 ms

4Ua_rENHsxJlGDuGo1OIlJfC6l_24rlCK1Yo_Iqcsih3SAyH6cAwhX9RFD48TE63OOYKtrwEIKlhrSjiEwI6.woff

4Ua_rENHsxJlGDuGo1OIlJfC6l_24rlCK1Yo_Iqcsih3SAyH6cAwhX9RFD48TE63OOYKtrwEIKlhrSjiEwI6.woff

341 ms

pxiDypQkot1TnFhsFMOfGShlE92JQEk.woff

pxiDypQkot1TnFhsFMOfGShlE92JQEk.woff

152 ms

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41 ms

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m=sy9v,sWGJ4b,sy63,sy64,sy85,sy86,sy87,EGNJFf,iSvg6e,sy88,uY3Nvd

18 ms

Accessibility Review

course.fullstackdeeplearning.com accessibility score

85

Accessibility Issues

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

High

[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

High

<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

High

Lists do not contain only <li> elements and script supporting elements (<script> and <template>).

High

List items (<li>) are not contained within <ul> or <ol> parent elements.

Best Practices

course.fullstackdeeplearning.com best practices score

75

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

High

Browser errors were logged to the console

High

Missing source maps for large first-party JavaScript

High

Issues were logged in the Issues panel in Chrome Devtools

SEO Factors

course.fullstackdeeplearning.com SEO score

100

Search Engine Optimization Advices

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

High

Document uses legible font sizes

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Course.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 Course.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.

Social Sharing Optimization

course.fullstackdeeplearning.com

Open Graph description is not detected on the main page of Course 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: