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Description
W-KING Bluetooth Lautsprecher mit 2 Vollfrequenztreiber– Superbass, Bluetooth Box Musikbox Party Lautsprecher mit 80 W und LED-Beleuchtung, 105dB-Sound, IPX5, 24 Stunden, U-Disk, TF-Karte, AUX, EQMarke: W KING Farbe: Schwarz Eigenschaften: 80W Vollfrequenztreiber & Bassreflexrohranschluss: Der Bluetooth Lautsprecher T9 2 von W KING verfgt ber die neuesten 2 Breitbandtreiber und eine 80 W Lautsprecherleistung. Der Lautsprecher T9 2 mit hoher Lautstrke verwendet auerdem fortschrittliche Bassreflexrohre, um tiefe und natrliche Bsse zu gewhrleisten und das gesamte Audioerlebnis zu verbessern, sodass wir ein beeindruckendes Audioerlebnis mit
Marke: W-KING
Farbe: Schwarz
Eigenschaften:
- 80W Vollfrequenztreiber & Bassreflexrohranschluss: Der Bluetooth Lautsprecher T9-2 von W-KING verfügt über die neuesten 2 Breitbandtreiber und eine 80-W-Lautsprecherleistung. Der Lautsprecher T9-2 mit hoher Lautstärke verwendet außerdem fortschrittliche Bassreflexrohre, um tiefe und natürliche Bässe zu gewährleisten und das gesamte Audioerlebnis zu verbessern, sodass wir ein beeindruckendes Audioerlebnis mit verbesserten Bässen, straffen Mitten und klaren Höhen genießen können.
- Verrückter Bass-Boost, 105 dB riesiger Sound und integrierte DSP-Technologie: Der kabellose laute Bluetooth-Lautsprecher W-KING T9-2 mit 80 W verfügt über integrierte DSP-Technologie mit donnernden, verrückten Bässen, satten Mitten und berauschenden Höhen. Lassen Sie Ihre Ohren jederzeit und überall hochauflösenden Stereoklang genießen. Tragbarer 80-W-Bluetooth-Lautsprecher für Outdoor-Partys mit unglaublichem 105-dB-Sound, bereit zum Tanzen und Sie werden der König der Bühne sein.
- EQ-Modus und lebendiges Farbmischlicht: Der 80-W-Breitbandlautsprecher T9-2 verfügt über zwei EQ-Modi, die den Bass über die EQ-Taste verstärken, sodass Sie die perfekte Balance zwischen mittleren Bässen und Höhen genießen können. Der große Bluetooth-Lautsprecher W-KING T9-2 verfügt außerdem über farbenfrohe Disco-Lichter in sieben Farbmodi, sodass Sie zwischen verschiedenen Farben wechseln können. Wunderschöne Lichter, wundervolle Musik und Tanz sorgen für eine romantische Partyatmosphäre.
- 24 Spielzeit & 160W Wireless-Stereo-Kopplung: Dank unserer leistungsstarken, langlebigen Batterietechnologie können Ihre Außenlautsprecher bis zu 24 Stunden lang spielen (die tatsächliche Wiedergabezeit hängt von Lautstärke, Umgebung und Lied ab). Durch den Anschluss von zwei T9-2-Stereo-Subwoofern können Sie kraftvollen Stereoklang synchronisieren und so zwei große Stereoklangfelder erhalten. Dadurch erleben Sie optimale Präsenz, Kraft und Lautstärke(T9-2 kann nicht mit T9-1 gekoppelt werden)
- Bluetooth 5.3 & AUX/TF-Karte/USB-Wiedergabe: Der tragbare 80-W-Vollbereichslautsprecher W-KING verwendet den neuesten drahtlosen Bluetooth 5.3-Streaming-Chip, der eine sofortige Kopplung gewährleistet und eine stabilere Fernübertragung ermöglicht. Dieser große Lautsprecher unterstützt auch Micro-TF-Karten-, Flash-USB- und 3,5-mm-AUX-Eingangsanschlüsse und ist somit mit Android-Telefonen, Fernsehern, iPads, Tablets, PCs und mehr kompatibel.
- Tragbarer Griff und IPX5-spritzwassergeschützt: Nehmen Sie den tragbaren Vollbereichslautsprecher T9-2 mit und veranstalten Sie jederzeit und überall eine Party. Für den einfachen Transport sind sie mit Ledergriffen ausgestattet. Der T9-2 ist IPX5-spritzwassergeschützt und eignet sich daher perfekt für Partys im Freien und Familientreffen in Strandgärten. Bitte verwenden Sie zum Aufladen des Lautsprechers das mitgelieferte 5V/2A USB-C-Kabel. Netzteil nicht im Lieferumfang enthalten.
- Produktgarantie: Genießen Sie unsere 12-monatige Garantie und unseren freundlichen Kundenservice. Das Paket enthält den tragbaren PARTY-Vollbereichslautsprecher T9-2, ein Ladekabel, ein 3,5-mm-AUX-Kabel und eine Bedienungsanleitung. Wenn Sie Probleme mit unseren Produkten haben, können Sie sich gerne an uns wenden. Wir helfen Ihnen gerne bei der Lösung des Problems.
Bindung: Elektronik
Modellnummer: T9-2
Paketmaße: 18.6 x 9.5 x 8.1 inches
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4.0 ★★★★★
Based on 25 reviews
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Product Reviews
★★★★★ 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!!
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Reviewed in the United States on November 30, 2025
★★★★★ 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.
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Reviewed in the United States on March 15, 2017
★★★★★ 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.
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Reviewed in the United States on May 22, 2026
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on May 15, 2018