julianvossen.de bewertung und analyse
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| Title | Home - |
| Description | Posts Hi, I’m Julian - below you’ll find some posts and a few projects I’ve been working on. Feel free to reach out at hi julianvossen.de . Posts Writing type-s |
| Keywords | julian, vossen, software engineering, machine learning, deep learning, neural networks, app, development, developer, programming, webdesign, golang, python, pytorch |
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| Host IP | 185.199.108.153 |
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julianvossen.de bewertung
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Euro€1,102
Zuletzt aktualisiert: 2022-06-01 19:38:43
julianvossen.de hat Semrush globalen Rang von 35,678,067. julianvossen.de hat einen geschätzten Wert von € 1,102, basierend auf seinen geschätzten Werbeeinnahmen. julianvossen.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in - mit der IP-Adresse 185.199.108.153. Laut SiteAdvisor ist julianvossen.de sicher zu besuchen. |
Verkehr & Wertschätzungen
| Kauf-/Verkaufswert | Euro€1,102 |
| Tägliche Werbeeinnahmen | Euro€22,591 |
| Monatlicher Anzeigenumsatz | Euro€7,714 |
| Jährliche Werbeeinnahmen | Euro€551 |
| Tägliche eindeutige Besucher | 551 |
| Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. | |
DNS Records
| Host | Type | TTL | Data |
| julianvossen.de. | A | 150 | IP: 185.199.108.153 |
| julianvossen.de. | NS | 150 | NS Record: shades19.rzone.de. |
| julianvossen.de. | NS | 150 | NS Record: docks08.rzone.de. |
| julianvossen.de. | MX | 150 | MX Record: 5 smtpin.rzone.de. |
HtmlToTextCheckTime:2022-06-01 19:38:43
| Hi, I’m Julian - below you’ll find some posts and a few projects I’ve been working on. Feel free to reach out at hi julianvossen.de . Posts Writing type-safe HTML in Go with htmlgo March 17, 2019 Using Deep Learning to isolate vocals from songs February 10, 2019 A short post on isolating vocals from songs by training a WaveNet-like model on raw audio Projects Stylevinci - A search engine for fashion Stylevinci.com aggregates clothing items and provides search features powered by deep learning. Users can search for visually similar items while adding other filters, such as price, colour or search terms. Similarity search - We use a convolutional model to generate a vector representation of each clothing item. Therefore, a search for similar items becomes a nearest neighbour search in the resulting vector space. The model is trained as a siamese network with the triplet loss and an auxillary classification target. Colour annotation - Using instance segmentation and subsequent |
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