stefanhuber.at bewertung und analyse
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| Title | stefanhuber.at |
| Description | stefanhuber.at A-Frame Windows Mixed Reality standalone app September 26, 2020 Building a standalone (aka kiosk) virtual reality (VR) application on the W |
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| WebSite | |
| Host IP | 85.158.181.80 |
| Location | Austria |
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| stefan-naszay.de | 0 |
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stefanhuber.at bewertung
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Euro€1,653
Zuletzt aktualisiert: 2022-08-30 13:12:31
stefanhuber.at hat Semrush globalen Rang von 19,018,120. stefanhuber.at hat einen geschätzten Wert von € 1,653, basierend auf seinen geschätzten Werbeeinnahmen. stefanhuber.at empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Austria mit der IP-Adresse 85.158.181.80. Laut SiteAdvisor ist stefanhuber.at sicher zu besuchen. |
Verkehr & Wertschätzungen
| Kauf-/Verkaufswert | Euro€1,653 |
| Tägliche Werbeeinnahmen | Euro€41,876 |
| Monatlicher Anzeigenumsatz | Euro€14,326 |
| Jährliche Werbeeinnahmen | Euro€1,102 |
| Tägliche eindeutige Besucher | 551 |
| Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. | |
DNS Records
| Host | Type | TTL | Data |
| stefanhuber.at. | A | 3600 | IP: 85.158.181.80 |
| stefanhuber.at. | NS | 3600 | NS Record: ns2.hostprofis.com. |
| stefanhuber.at. | NS | 3600 | NS Record: ns1.hostprofis.com. |
| stefanhuber.at. | MX | 3600 | MX Record: 10 mail.stefanhuber.at. |
HtmlToTextCheckTime:2022-08-30 13:12:31
| stefanhuber.at A-Frame Windows Mixed Reality standalone app September 26, 2020 Building a standalone (aka kiosk) virtual reality (VR) application on the Windows Mixed Reality (WMR) platform has some challenges, even more, if it is a WebXR app, based on the A-Frame framework. Two challenges which need to be solved: Starting up the VR application on every startup of the Windows 10 system. That is, opening the app inside the WMR platform. The WMR platform goes into a standby mode after some time if the headset is not used. ... Read more Tensor operations and primitives (with Tensorflow) August 3, 2020 For fluently reading and writing custom TensorFlow code (e.g., custom loss functions, custom layers, …) a good understanding of basic tensor operations is necessary. This article gives an overview of operations, which are commonly found in the wild. Terminology A tensor is a multi-dimensional data structure (basically another name for a multi-dimensional array). Tensors (tf.Tensor) have a |
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HTTP/1.1 200 OK Date: Wed, 22 Dec 2021 00:57:59 GMT Server: Apache Upgrade: h2 Connection: Upgrade Last-Modified: Mon, 28 Sep 2020 06:17:52 GMT Accept-Ranges: bytes Content-Length: 10668 Vary: Accept-Encoding,User-Agent Content-Type: text/html |