teddykoker.com valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
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Meta Tags
| Title | Teddy |
| Description | Posts Home About Publications CV GitHub Twitter Posts Learning to Learn with JAX 28 April 2022 Gradient-descent-based optimizers have long been used as the opti |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 185.199.110.153 |
| Location | - |
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teddykoker.com Valuation
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US$2,135,937
Last updated: 2023-04-27 07:14:18
teddykoker.com has Semrush global rank of 4,955,346. teddykoker.com has an estimated worth of US$ 2,135,937, based on its estimated Ads revenue. teddykoker.com receives approximately 246,455 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, teddykoker.com is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$2,135,937 |
| Daily Ads Revenue | US$1,972 |
| Monthly Ads Revenue | US$59,150 |
| Yearly Ads Revenue | US$709,789 |
| Daily Unique Visitors | 16,431 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| teddykoker.com. | A | 1798 | IP: 185.199.110.153 |
| teddykoker.com. | A | 1798 | IP: 185.199.111.153 |
| teddykoker.com. | A | 1798 | IP: 185.199.108.153 |
| teddykoker.com. | A | 1798 | IP: 185.199.109.153 |
| teddykoker.com. | NS | 1800 | NS Record: dns1.registrar-servers.com. |
| teddykoker.com. | NS | 1800 | NS Record: dns2.registrar-servers.com. |
| teddykoker.com. | MX | 1800 | MX Record: 10 eforward1.registrar-servers.com. |
| teddykoker.com. | MX | 1800 | MX Record: 10 eforward2.registrar-servers.com. |
| teddykoker.com. | MX | 1800 | MX Record: 10 eforward3.registrar-servers.com. |
| teddykoker.com. | MX | 1800 | MX Record: 20 eforward5.registrar-servers.com. |
| teddykoker.com. | MX | 1800 | MX Record: 15 eforward4.registrar-servers.com. |
| teddykoker.com. | TXT | 1799 | TXT Record: google-site-verification=Ee-InbJO0G1Ye0HWdLak70ISdbSawf9P1x-ceZg82QU |
| teddykoker.com. | TXT | 1800 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
HtmlToTextCheckTime:2023-04-27 07:14:18
| Home About Publications CV GitHub Twitter Posts Learning to Learn with JAX 28 April 2022 Gradient-descent-based optimizers have long been used as the optimization algorithm of choice for deep learning models. Over the years, various modifications to the basic mini-batch gradient descent have been proposed, such as adding momentum or Nesterov’s Accelerated Gradient (Sutskever et al., 2013) , as well as the popular Adam optimizer (Kingma & Ba, 2014) . The paper Learning to Learn by Gradient Descent by Gradient Descent (Andrychowicz et al., 2016) demonstrates how the optimizer itself can be replaced with a simple neural network, which can be trained end-to-end. In this post, we will see how JAX , a relatively new Python library for numerical computing, can be used to implement a version of the optimizer introduced in the paper. 1 DataLoaders Explained: Building a Multi-Process Data Loader from Scratch 18 December 2020 When training a Deep Learning model, one must often read and |
HTTP Headers
HTTP/1.1 301 Moved Permanently Server: GitHub.com Content-Type: text/html Location: https://teddykoker.com/ X-GitHub-Request-Id: CAFA:40B8:241A807:3702EFC:61700FE7 Content-Length: 162 Accept-Ranges: bytes Date: Wed, 20 Oct 2021 12:47:35 GMT Via: 1.1 varnish Age: 0 Connection: keep-alive X-Served-By: cache-chi21156-CHI X-Cache: MISS X-Cache-Hits: 0 X-Timer: S1634734055.438822,VS0,VE23 Vary: Accept-Encoding X-Fastly-Request-ID: 31b9668906a0d3ff3088dcbf36692efb3c1acc9b HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Fri, 16 Apr 2021 20:58:25 GMT access-control-allow-origin: * etag: "6079fa71-4798" expires: Wed, 20 Oct 2021 12:57:35 GMT cache-control: max-age=600 x-proxy-cache: MISS x-github-request-id: D54E:0B91:125DBF4:245C95C:61700FE7 accept-ranges: bytes date: Wed, 20 Oct 2021 12:47:35 GMT via: 1.1 varnish age: 0 x-served-by: cache-stl4851-STL x-cache: MISS x-cache-hits: 0 x-timer: S1634734056.542242,VS0,VE164 vary: Accept-Encoding x-fastly-request-id: c8c49adb280009994f6cfa16e949b043bfc937e7 content-length: 18328 |
teddykoker.com Whois Information
Domain Name: TEDDYKOKER.COM Registry Domain ID: 2382337685_DOMAIN_COM-VRSN Registrar WHOIS Server: whois.namecheap.com Registrar URL: http://www.namecheap.com Updated Date: 2021-03-21T22:35:09Z Creation Date: 2019-04-20T00:37:55Z Registry Expiry Date: 2023-04-20T00:37:55Z Registrar: NameCheap, Inc. Registrar IANA ID: 1068 Registrar Abuse Contact Email: abuse@namecheap.com Registrar Abuse Contact Phone: +1.6613102107 Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Name Server: DNS1.REGISTRAR-SERVERS.COM Name Server: DNS2.REGISTRAR-SERVERS.COM DNSSEC: unsigned >>> Last update of whois database: 2021-09-09T02:08:17Z <<< |