SKU: 52831252805

Sera bioactive IF 400 + UV - Innenfilter Filter bis 400L Aquarium mit UV Klärer

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Description

Sera bioactive IF 400 + UV - Innenfilter Filter bis 400L Aquarium mit UV KlärerSera bioactive IF 400 + UV Innenfilter bis 400L Aquarium Artikelbeschreibung: Vielseitiger Innenfilter mit UV C System fr Aquarien bis 400 lDer Innenfilter IF 400 + UV ist ein neuartiger und uerst flexibel einsetzbarer Innenfilter mit Oberflchenabzug und oder Seiteneinlauf fr S und Meerwasseraquarien. Er verfgt ber eine integrierte und regelbare Filterpumpe FP 750 und eine UV C Einheit, die fr Keim , Parasiten und Algenreduktion sorgt. Die im Filter


Sera bioactive IF 400 + UV - 

Innenfilter bis 400L Aquarium 

Artikelbeschreibung:



Vielseitiger Innenfilter mit UV-C-System für Aquarien bis 400 l

Der Innenfilter IF 400 + UV ist ein neuartiger und äußerst flexibel einsetzbarer Innenfilter mit Oberflächenabzug und/oder Seiteneinlauf für Süß- und Meerwasseraquarien. Er verfügt über eine integrierte und regelbare Filterpumpe FP 750 und eine UV-C-Einheit, die für Keim-, Parasiten- und Algenreduktion sorgt.

Die im Filter untergebrachten 6 Filterkörbe ermöglichen eine einfache Unterbringung, einen schnellen Wechsel von Filtermedien und lassen sich nach oben mittels herausziehbaren Halteplatten entnehmen. Das gleichzeitig biologisch gereinigte und UV-C bestrahlte Wasser wird über einen flexiblen Verteiler in das Aquarium zurückgeführt. Die flachen Ausströmdüsen sorgen für eine verbesserte Umwälzung im Aquarium.

Der IF 400 + UV lässt sich je nach Bedarf auch mit 4, 2 oder sogar ohne Körbe einsetzen. In letzterem Fall läuft Wasser über die gesamte Seite in den Filter und Filtermedien, wie Filterwatte, können Feinpartikel über den vergrößerten Einzug heraus kämmen.

Durch die vielfältigen Anpassungsmöglichkeiten ist der IF 400 + UV äußerst flexibel und auch für den professionellen Quarantäneeinsatz interessant, in dem man einerseits oft Filtermedien wechselt und andererseits nicht auf Keim- und Parasitenreduktion verzichten möchte. Der Filter kann sehr platzsparend im Aquarium befestigt werden und ermöglicht einen besonders einfachen Zugriff. Je nach Besatz des Aquariums und der Füllung mit Filtermedien hat der IF 400 + UV Kapazitäten für Aquarien bis 400 Liter.

Inklusive:

  • sera Filter- und Förderpumpe FP 750
  • sera UV-C-System 5 W inkl. Transformator und Vorschaltgerät
  • 6 Filtermedia-Körbe zur individuellen Anpassung der Filtration
  • Hochleistungsfiltermedium sera siporax mini Professional
  • Flexible Halterung zur Montage im Aquarium
  • Optionaler Wassereinzug über die Seite und Oberfläche
  • Verstellbarem Y-Strömungsverteiler

Maße:
(B x H x T) 22 x 30 x 11 cm




Versandinformationen:

Der Versand erfolgt am gleichen Werktag bei Zahlungseingang bis 12:00 Uhr.

Bei Zahlungseingang nach 12:00 Uhr wird die Ware gleich am nächsten

Werktag versendet.


 


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Marke: sera

Filter Lage: Innen

Manufacturer:
sera GmbH
Borsigstr. 49
DE-52525 Heinsberg
Email: [email protected]
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SKU: 52831252805

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4.2 ★★★★★
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Shannon
Grantham, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Pawtucket, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Waukegan, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Houston, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Port Orchard, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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