DEEPLEARNING.NET Deep Learning


deeplearning.net website information.

deeplearning.net domain name is registered by .NET top-level domain registry. See the other sites registred in .NET domain zone.

Following name servers are specified for deeplearning.net domain:

  • typhon.iro.umontreal.ca
  • tabata.iro.umontreal.ca

and probably website deeplearning.net is hosted by CHINA-ABITCOOL Abitcool(China) Inc., CN web hosting company. Check the complete list of other most popular websites hosted by CHINA-ABITCOOL Abitcool(China) Inc., CN hosting company.

According to Alexa traffic rank the highest website deeplearning.net position was 16401 (in the world). The lowest Alexa rank position was 880532. Now website deeplearning.net ranked in Alexa database as number 68229 (in the world).

Website deeplearning.net Desktop speed measurement score (61/100) is better than the results of 37.05% of other sites shows that the page desktop performance can be improved.

deeplearning.net Mobile usability score (61/100) is better than the results of 5.47% of other sites and shows that the page mobile usability is poor and can be improved.

Mobile speed measurement score of deeplearning.net (44/100) is better than the results of 24.22% of other sites and shows that the landing page performance on mobile devices is poor and can be improved.

Weekly Rank Report

DateRankChange
May-13-2024 68,2291,954
May-12-2024 70,183-15,541
May-11-2024 54,642524
May-10-2024 55,166-564
May-09-2024 54,6027,035
May-08-2024 61,637-6,604
May-07-2024 55,0337,206

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deeplearning.net Rank History

Alexa can identify the popularity of a website as well as its competitors. It is important for website owners and bloggers to know their Alexa ranking because it shows how many visitors have viewed their web page. It gives them a clear idea of how popular their website is on the internet and the ranking of their competitors.



deeplearning.net whois

WHOIS is a query and response protocol that is widely used for querying databases that store the registered users or assignees of an Internet resource, such as a domain name, an IP address block, or an autonomous system, but is also used for a wider range of other information.


Domain Name: DEEPLEARNING.NET
Registry Domain ID: 958354108_DOMAIN_NET-VRSN
Registrar WHOIS Server: whois.godaddy.com
Registrar URL: http://www.godaddy.com
Updated Date: 2018-02-12T05:29:08Z
Creation Date: 2007-05-04T16:59:46Z
Registry Expiry Date: 2021-05-04T16:59:46Z
Registrar: GoDaddy.com, LLC
Registrar IANA ID: 146
Registrar Abuse Contact Email: abuse@godaddy.com
Registrar Abuse Contact Phone: 480-624-2505
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Name Server: TYPHON.IRO.UMONTREAL.CA
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2021-05-02T18:38:05Z

deeplearning.net server information

Servers Location

IP Address
132.204.26.28
Country
Canada
Region
Quebec
City
Montreal

deeplearning.net desktop page speed rank

Last tested: 2018-02-10


Desktop Speed Bad
61/100

deeplearning.net Desktop Speed Test Quick Summary


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deeplearning.net Desktop Resources

Total Resources51
Number of Hosts7
Static Resources39
JavaScript Resources34
CSS Resources9

deeplearning.net Desktop Resource Breakdown

deeplearning.net mobile page speed rank

Last tested: 2016-10-12


Mobile Speed Bad
44/100

deeplearning.net Mobile Speed Test Quick Summary


priority - 96 Eliminate render-blocking JavaScript and CSS in above-the-fold content

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priority - 8 Prioritize visible content

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priority - 6 Leverage browser caching

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deeplearning.net Mobile Resources

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deeplearning.net mobile page usability

Last tested: 2016-10-12


Mobile Usability Bad
61/100

deeplearning.net Mobile Usability Test Quick Summary


priority - 30 Use legible font sizes

The following text on your page renders in a way that may be difficult for some of your visitors to read. Use legible font sizes to provide a better user experience.

The following text fragments have a small font size. Increase the font size to make them more legible.

ABOUT and 1 others render only 4 pixels tall (11 CSS pixels).

ICML 2013 CHAL…ATION LEARNING and 10 others render only 4 pixels tall (11 CSS pixels).

… moving beyon…ng since 2006! renders only 6 pixels tall (15 CSS pixels).

Comments renders only 5 pixels tall (13 CSS pixels).

Posts renders only 5 pixels tall (13 CSS pixels).

Recent Posts and 3 others render only 8 pixels tall (20 CSS pixels).

Conference on…ligence-Dec 15 and 16 others render only 5 pixels tall (13 CSS pixels).

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CFP renders only 5 pixels tall (13 CSS pixels).

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priority - 26 Size tap targets appropriately

Some of the links/buttons on your webpage may be too small for a user to easily tap on a touchscreen. Consider making these tap targets larger to provide a better user experience.

The following tap targets are close to other nearby tap targets and may need additional spacing around them.

The tap target <a href="http://deeplearning.net/">Home</a> and 1 others are close to other tap targets.

The tap target <a href="http://deeplea…/reading-list/">Reading List</a> and 9 others are close to other tap targets.

The tap target <a href="http://deeplearning.net/">Deep Learning</a> is close to 1 other tap targets.

The tap target <a href="http://deeplea…comments/feed/" class="comments-icon">Comments</a> is close to 1 other tap targets.

The tap target <a href="http://deeplearning.net/feed/" class="posts-icon">Posts</a> is close to 2 other tap targets.

The tap target <input type="text" name="s" class="text inputblur"> is close to 2 other tap targets.

The tap target <a href="http://deeplea…07/14/4153924/">MILA is Hiring…ware Engineers</a> and 25 others are close to other tap targets.

The tap target <a href="http://deeplea…g/acquisition/" class="tag-link-87">acquisition</a> is close to 8 other tap targets.

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The tap target <a href="http://deeplea…deep-learning/" class="tag-link-11">deep-learning</a> is close to 8 other tap targets.

The tap target <a href="http://deeplea…presentations/" class="tag-link-31">deep learning representations</a> is close to 7 other tap targets.

The tap target <a href="http://deeplea…ning-workshop/" class="tag-link-25">deep learning workshop</a> is close to 11 other tap targets.

The tap target <a href="http://deeplea…/tag/facebook/" class="tag-link-76">facebook</a> is close to 12 other tap targets.

The tap target <a href="http://deeplea…offrey-hinton/" class="tag-link-59">Geoffrey Hinton</a> is close to 13 other tap targets.

The tap target <a href="http://deeplea…et/tag/google/" class="tag-link-52">google</a> is close to 10 other tap targets.

The tap target <a href="http://deeplea…tag/iclr-2013/" class="tag-link-36">iclr 2013</a> is close to 12 other tap targets.

The tap target <a href="http://deeplea…n-schmidhuber/" class="tag-link-81">Jurgen Schmidhuber</a> is close to 11 other tap targets.

The tap target <a href="http://deeplea…presentations/" class="tag-link-40">learning representations</a> is close to 9 other tap targets.

The tap target <a href="http://deeplea…tag/nips-2012/" class="tag-link-26">nips 2012</a> is close to 10 other tap targets.

The tap target <a href="http://deeplea…et/tag/papers/" class="tag-link-39">papers</a> is close to 8 other tap targets.

The tap target <a href="http://deeplea…tion-learning/" class="tag-link-23">representation learning</a> is close to 5 other tap targets.

The tap target <a href="http://deeplea…t/tag/reviews/" class="tag-link-43">reviews</a> is close to 5 other tap targets.

The tap target <a href="http://deeplea…t/tag/startup/" class="tag-link-51">startup</a> is close to 10 other tap targets.

The tap target <a href="http://deeplea…ag/yann-lecun/" class="tag-link-19">Yann Lecun</a> is close to 13 other tap targets.

The tap target <a href="http://deeplea…yoshua-bengio/" class="tag-link-30">yoshua bengio</a> is close to 10 other tap targets.

The tap target <a href="http://deeplearning.net/feed/">Entries RSS</a> and 1 others are close to other tap targets.

The tap target <a href="http://deeplea…net/?page_id=4">reading list</a> and 7 others are close to other tap targets.

The tap target <a href="http://deeplearning.net/">About</a> and 14 others are close to other tap targets.

The tap target <a href="http://deeplearning.net/">Deep Learning</a> and 2 others are close to other tap targets.

priority - 10 Configure the viewport

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deeplearning.net Ping

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deeplearning.net TRACEROUTE

Traceroute is a network diagnostic tool used to track the pathway taken by a packet on an IP network from source to destination. Traceroute also records the time taken for each hop the packet makes during its route to the destination. Traceroute uses ICMP (Internet Control Message Protocol) echo packets with variable time to live values. The response time of each hop is calculated. To guarantee accuracy, each hop is queried multiple times (usually three times) to better measure the response of that particular hop.