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plante zz zamioculcas zamiifolia Zamioculcas zamiifolia — ZZ-planteSkinnende mrkegrnne blade Grafiske kdfulde stngler Tler skygge Meget sjlden vanding 6 strrelser tilgngelige Zamioculcas zamiifolia, ogs kaldet ZZ plante, er en plante, der stammer fra de semi trre omrder i stafrika. Dens kdfulde, mrkegrnne blade, symmetrisk arrangeret langs tykke og robuste stngler, skaber en arkitektonisk og sofistikeret silhuet. Den lagrer vand i sine rhizomer hvilket giver den en enestende trketolerance og en bemrkelsesvrdig evne
🌿 Skinnende mørkegrønne blade • 🏛️ Grafiske kødfulde stængler • 🌑 Tåler skygge • 💧 Meget sjælden vanding • 🏙️ 6 størrelser tilgængelige
Zamioculcas zamiifolia, også kaldet ZZ-plante, er en plante, der stammer fra de semi-tørre områder i Østafrika. Dens kødfulde, mørkegrønne blade, symmetrisk arrangeret langs tykke og robuste stængler, skaber en arkitektonisk og sofistikeret silhuet. Den lagrer vand i sine rhizomer — hvilket giver den en enestående tørketolerance og en bemærkelsesværdig evne til at klare lav belysning. En af de få planter, der virkelig egner sig til mørke entréer og gange.
Blandt stueplanter for begyndere er det en af de mest tilgivende — praktisk talt uforgængelig under almindelige lejlighedsforhold.
Placering & lysforhold
Zamioculcas er en af de få planter, der kan trives i svagt oplyste rum. Den foretrækker indirekte lys, men tåler forhold, hvor de fleste andre planter ikke ville overleve — gang, kontor uden vindue, mørkt hjørne i en stue. For at vælge den rette plante til hvert rum, giver vores guide om planter til mørke rum dig alle svarene.
- Lysforhold: svagt lys til indirekte lys — undgå direkte sol, som kan brænde bladene.
- Placering: kontor, gang, soveværelse, svagt oplyst stue — overalt hvor lyset er sparsomt.
- Temperatur: 15–27 °C, tåler variationer.
- Substrat: let og meget veldrænet — kaktusjord eller universel pottemuld med perlite.
Zamioculcas er den ideelle plante til rum uden vinduer eller med meget lidt lys — hvor andre planter visner, bevarer den sit skinnende og tætte løv uden problemer.
Vanding & pleje
Zamioculcas foretrækker at blive glemt — det er langt bedre at vande for lidt end for meget. Dens rhizomer lagrer vand og gør det muligt for planten at klare uger uden vanding uden skade. For meget vand er det eneste, der virkelig kan skade den, som vores guide om vanding af stueplanter også bekræfter.
- Hyppighed: hver 2. til 3. uge om foråret og sommeren, en gang om måneden om vinteren.
- Dræning: nødvendigt — potte med hul og meget veldrænet substrat.
- Fugtighed: unødvendigt — tåler tørt indeklima perfekt, ingen forstøvning nødvendig.
- Rengøring: tør bladene af med en fugtig klud hver anden uge for at bevare deres skinnende glans.
Bløde stængler ved bunden er tegn på overvanding — lad substratet tørre helt, tjek dræningen og vent flere uger før næste vanding.
Dekorationsidéer & plantekombinationer
Zamioculcas’ opretstående silhuet og skinnende løv gør den til en strukturerende plante, der skiller sig ud i mørke hjørner. Dens intense mørkegrønne farve passer naturligt til neutrale toner og rå materialer.
- I et mørkt hjørne af stuen, placer den i Capi Nature Skin Anthracite potten — den teksturerede antracitgrå forstærker det grafiske og enkle udtryk i det skinnende mørkegrønne løv for et minimalistisk og moderne look.
- Til en skyggefuld sammensætning, kombiner den med en Aspidistra elatior — to skyggeplanter med skinnende, opretstående blade, der supplerer hinanden i højde og tekstur uden krav til lys.
- I en gang eller entré, sæt den i Jorck sort kurv Ø26 cm — den matte sorte flettede tekstur kontrasterer med de skinnende grønne blade og skaber en naturlig og grafisk komposition i et gennemgangsområde.
- Til en skulpturel XXL-sammensætning, kombiner den med en Dracaena marginata — den slanke, opretstående drageplante kontrasterer med Zamioculcas’ tætte og kompakte vækst for et arkitektonisk duo i en lys stue med delvis skygge.
Verdeia tips
- Vent altid til substratet er helt tørt før vanding: stik fingeren helt ned i potten — hvis der stadig er fugt, vent lidt længere. Zamioculcas kan klare uger uden vand, men ikke stillestående fugt.
- Tør bladene regelmæssigt af: en fugtig klud hver anden uge bevarer den karakteristiske skinnende glans og forbedrer fotosyntesen — især vigtigt i rum med lidt lys.
- Omplant hver 2. til 3. år om foråret: i et meget veldrænet substrat blandet med perlite eller groft sand — Zamioculcas udvikler store rhizomer, der hurtigt udtømmer pottemulden.
Tekniske specifikationer
- Botanisk navn: Zamioculcas zamiifolia
- Almindeligt navn: ZZ-plante
- Oprindelse: semi-tørre områder i Østafrika
- Tilgængelig størrelse 1: H40 cm | Potte Ø12 cm
- Tilgængelig størrelse 2: H55 cm | Potte Ø14 cm
- Tilgængelig størrelse 3: H65 cm | Potte Ø14 cm
- Tilgængelig størrelse 4: H65 cm | Potte Ø17 cm
- Tilgængelig størrelse 5: H70 cm | Potte Ø17 cm
- Tilgængelig størrelse 6: H75–80 cm | Potte Ø21 cm
- Lysforhold: svagt lys til indirekte lys
- Vanding: meget sparsom — lad substratet tørre helt mellem vandinger
- Pleje: meget nem
- Toksicitet for dyr: giftig for katte og hunde
- Stilart: Moderne / Arkitektonisk / Minimalistisk
Hver plante er unik: billederne viser et eksempel på udseendet. Antallet af stængler og løvets tæthed varierer naturligt afhængigt af den valgte størrelse.
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4.2 ★★★★★
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Product Reviews
★★★★★ 4
Lots of storage space, great mirrors, has paint scent
Color: White
You can store a lot in this! There are a lot of good things to say about this. It's cute, has tons of mirror space and room to store jewelry, seems pretty sturdy as far as the wood parts go, and could also be used as Barbie furniture for a girl with a little imagination--a perfect armoire! It's the perfect height for a Barbie doll.
So, there is space for non-dangly earrings to be placed in holes, a section under that for necklaces or bigger earrings, four small spots on top for necklaces or other chains, a larger section there, five drawers, four long necklace spots to hang them with catch sections underneath, and a space for a lot of rings. There are also eight hangers for short chains or earrings.
Quality wise, it is decent, but maybe not fantastic. Most of the wood aspects seem strong and built well, except the part that stores rings comes out completely and can be a tiny bit of a challenge to put back in a way that it fits right. The cardboard inserts are a little flimsy. I think if a child used this and pulled down on one of the necklace holders, it might not spring back into place, and then would be useless after that. The cardboard insert on the top for the stud earrings also seems like it will get misshapen pretty easily.
The biggest negative, and is one I am not sure I can get beyond, but time will tell, is the strong paint odor of it. It smells like a bedroom smells immediately after it gets painted--that kind of smell that tells you perhaps you should sleep somewhere else for a night. That smell fades, though. I hope this smell also fades because it seems too strong to give to a child, and this is advertised as for a woman or girl (which I assume is a child.)
So, size wise and usage is generally good for this. If the paint smell fades, I will be fully satisfied with it.
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Reviewed in the United States on October 18, 2025
★★★★★ 5
Holds a decent amount of jewelry!
Color: Carbonized Brown, Color: Carbonized Brown
I was quite impressed with this little jewelry box. Although it is on the smaller side, it utilizes every bit of the storage space available really well. I’d ultimately love to get a bigger armoire- as it is, this jewelry box contains what I wear most often, but I have a larger collection than this particular jewelry box can hold- my plan is to find a larger jewelry armoire that resembles what my mother had because I loved that one and then passed this one down to my daughter who loves it.
For its size, it does absolutely hold a lot. I definitely underestimated how much it would hold. I love that there are drawers and well. I would love to see the ring area hinged so that I don’t have to reposition it when I’m done grabbing my rings, I think it’s a really cool, unique way to approach that particular area. I love that every little bit at this jewelry box is designed to have utility. I hate wasting space and time and I love good organization so it’s been really nice being able to pack as much as I can in there. The top opens up to space for earrings and other miscellaneous items. There are both open and more structured components. And the space for bracelets rotates, which is really nice- I didn’t realize that it rotated and I was a little bit worried that I was gonna constantly knock things down while I was reaching through or something. There is lots of room inside both doors for necklaces, and it fits a lot more than I thought it would.
The wood stain is a really pretty kind of ashy natural stain- the sort of grey tint is really nice and it’s gorgeous. I’m not a huge fan of mirrors as far as the front goes, but I do have an artist in house who is really good at coming up with stuff for this, just a little ways to put art in your every day, so I’ll probably have her paint over. The jewelry box also doesn’t take much space up at all. While I am looking for something with a little bit larger footprint, I don’t necessarily want to waste a bunch of real estate in the meantime so I’m really pleased with how compact it is.
This is a great little jewelry box - as I mentioned it doesn’t house all of my jewelry, but that’s because my collection is mostly heirloom and I don’t want to take it out from where it is right now. If it were larger, I would probably do so but for now it just houses my everyday items and a little bit extra. I think it’s great and I’m super happy with it!
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Reviewed in the United States on March 17, 2026
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier.
Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas.
However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon).
As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful.
Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics).
I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book.
In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience.
If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference.
I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance:
The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals).
Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning.
Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time.
And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
★★★★★ 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
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