Report Summary

  • 0

    Performance

  • 0

    Accessibility

  • 0

    Best Practices

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    SEO

deeplearning.team

The Deep Learning Team - Building DataSets for AI Models

Page Load Speed

356 ms in total

First Response

79 ms

Resources Loaded

110 ms

Page Rendered

167 ms

deeplearning.team screenshot

About Website

Visit deeplearning.team now to see the best up-to-date Deep Learning content for United States and also check out these interesting facts you probably never knew about deeplearning.team

We are a Deep Learning and AI service provider that builds industry-specific deep learning and AI models in Tensorflow, Pytorch, Apache MXNet, and Keras. We build for IOS, Android, and enterprise busi...

Visit deeplearning.team

Key Findings

We analyzed Deeplearning.team page load time and found that the first response time was 79 ms and then it took 277 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.

Performance Metrics

deeplearning.team performance score

0

Network Requests Diagram

deeplearning.team

79 ms

www.deeplearning.team

11 ms

Our browser made a total of 2 requests to load all elements on the main page. We found that all of those requests were addressed to Deeplearning.team and no external sources were called. The less responsive or slowest element that took the longest time to load (79 ms) belongs to the original domain Deeplearning.team.

Page Optimization Overview & Recommendations

Page size can be reduced by 36 B (29%)

Content Size

125 B

After Optimization

89 B

In fact, the total size of Deeplearning.team main page is 125 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 125 B which makes up the majority of the site volume.

HTML Optimization

-29%

Potential reduce by 36 B

  • Original 125 B
  • After minification 125 B
  • After compression 89 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 36 B or 29% of the original size.

Requests Breakdown

We found no issues to fix!

Requests Now

0

After Optimization

0

Besides the initial HTML request, no CSS, Javascripts, AJAX or image files were requested in the course of web page rendering.

SEO Factors

deeplearning.team SEO score

0

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    N/A

  • Encoding

    UTF-8

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

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: