SKU: 59782494232

AlderMax 12V LED Garden 5 Light Kit

$99.86 $110.95
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Description

AlderMax 12V LED Garden 5 Light KitAlderMax 12V LED Spike 5 Light Bundle Manufacturer: LVOutdoors Model: 6580061 1 Year Warranty on This Product The AlderMax spotlight is incredibly popular as an individual garden light as well as a bundle (kit). We believe that this is easily the most popular garden spike light and now incorporated into a ready to plug in kit by LVOutdoors Bringing Gardens to Light This 5 light bundle includes: 5 x AlderMax Spike Lights 5 connector wiring loom (total

AlderMax 12V LED Spike 5 Light Bundle

Manufacturer: LVOutdoors

Model: 6580061

1 Year Warranty on This Product

The AlderMax spotlight is incredibly popular as an individual garden light as well as a bundle (kit).

We believe that this is easily the most popular garden spike light and now incorporated into a ready to plug in kit by LVOutdoors -Bringing Gardens to Light

This 5 light bundle includes:

  • 5 x AlderMax Spike Lights
  • 5 connector wiring loom (total length 15m).
  • Transformer

Everything that you need to install the lights in your garden is included.

Its compact size allow it to disappear into the flower bed but still produce a strong enough light to make an impact.

Everything is low voltage (12V) and completely safe to install without an electrician.

Safe for garden use, children and pets.

Simply plugs together and easily extended in the future.

Note:     The AlderMax is a 3W spike light manufactured by LVOutdoors.

Provided with transformer and plug and play easy install cables.

Can be remotely turned on from inside with a timer or our optional remote controller.

These Spotlights Can Be Spiked

These spotlights come with both a spike and mounting plate so you can easily install them in soil or to a solid base like wood or concrete. The Alder is very versatile. Due to its size and unobtrusive nature it's a great spotlight for planters and tubs while still being powerful enough to light larger border plants.

*Note:If your garden is larger or your power socket is not nearby you may need to purchase additional cables and adaptors.  These are all available in our shop.

The transformer provided with this kit is designed to fit directly into a power socket located inside or in a waterproof enclosure. If you prefer an external waterproof transformer then this is available at small additional cost.

 

LVOutdoors AlderMax Specifications

Material: Aluminium Alloy and Painted 

Colour: Black

Dimension (HxW): 65mm x 43mm (165mm overall with spike)

Cable: 1 metre round cable with connector

Light Source Included: 12V 3W LED (Warm White or White)

IP Class: IP64 suited for outdoor use

Mounting Type: Spike & Wall or florr mounting / Screw mounting through mounting plate

 

About Us:  LVOutdoors provide garden lighting direct to the householder at amazingly competitive prices. We are a UK company who have represented both the biggest and the most expensive garden lighting companies but now offer our own products. We monitor our prices and know that we are never beaten on price. Veterans of RHS shows, the Royal Ascot Flower and Garden Show and many other shows we are experienced at both installing and designing lighting systems. If in doubt about anything please do not hesitate to ask. None of our systems need installing by an electrician and you can be assured of a cost effective and reliable solution. We are equally happy helping landscapers and gardeners get involved with the lighting project if desired.

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Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 59782494232

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4.1 ★★★★★
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Par
Cuba, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Lowell, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Alexandria, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Louisville, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Lake Worth, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

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