SKU: 96025654570

Marmoleum Cinch LOC Seal - Leaf 93/333260

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Description

Marmoleum Cinch LOC Seal - Leaf 93/333260Marmoleum Cinch LOC Seal (formerly known as Marmoleum Click) makes creating beautiful, custom floors easy and fun. Marmoleum Cinch LOC Seal is made primarily from healthy, natural, and renewable resources and features inherent antistatic and antimicrobial properties that repel dust and dirt, making it easy to clean and reducing exposure to allergens, while inhibiting the breeding of harmful organisms. This naturally healthy, waterproof flooring

Marmoleum Cinch LOC Seal (formerly known as Marmoleum Click) makes creating beautiful, custom floors easy and fun. Marmoleum Cinch LOC Seal is made primarily from healthy, natural, and renewable resources and features inherent antistatic and antimicrobial properties that repel dust and dirt, making it easy to clean and reducing exposure to allergens, while inhibiting the breeding of harmful organisms. This naturally healthy, waterproof flooring consists of linoleum mounted onto HDF with a cork backing for a warm, comfortable, quiet flooring solution. This flooring is waterproof, handling life's daily messes.

Panels and squares are approximately 9.8 mm thick and are sold by carton with 7 per carton (equivalent to 20.34 square feet for panels and 6.78 square feet for squares) and can be used alone or in combination of panels & squares.

For more detail, please see the brochure for Marmoleum Cinch LOC Seal. This flooring fits into place using a Valinge 5G locking system for a secure, glue-free installation. Marmoleum Cinch LOC Seal is easy to install without adhesives, and it is suitable to install over hydronic radiant heat systems. Use one color or mix and match for creative patterns. See color options for Marmoleum Cinch LOC Seal. Installation accessories and care products are also available.

Click here for More on Marmoleum Raw Materials

Marmoleum Cinch LOC Seal is backed by a 25-year limited warranty for residential use. View: Marmoleum Cinch LOC Seal Warranty Information
Country of Manufacture: Germany

Sizes/Dimensions

Marmoleum Cinch LOC Seal is an ecologically produced, natural linoleum on HDF with a cork layer, that comes in approx. sizes of 11.8 x 35.4 inch panels (actual size 300 x 900 mm) and 11.8 x 11.8-inch squares (actual size 300 x 300 mm). Its unique construction with the patented click system, combined with a broad color palette, give you a naturally cozy flooring.

A Note on Color

Due to the way it's made, don't be surprised if your Marmoleum Cinch LOC Seal has a yellowish tint on it when it is delivered. This is oxidized linseed oil, which can color the surface in the final stage of manufacturing. The tint will disappear (usually within 24 hours) as soon as your floor is exposed to the light. Also, because linoleum is a natural product, there may be slight color and structural differences between production batches, samples, and the delivered goods.

Technical Data

View: Technical Data Sheet for Marmoleum Cinch LOC Seal


Safety Information

View: Safety Data Sheet (SDS) for Marmoleum Cinch LOC Seal

Installation

Marmoleum Cinch LOC Seal is a snap to install. Slot it together with the simple locking system and literally click the panels into place. Because Marmoleum Cinch LOC Seal panels and squares are wide and leave no seams when connected, it's easy to get a nice smooth finish in no time. And there's no need to mess with glue or waiting for it to dry. Lay it, walk on it.

View: Marmoleum Cinch LOC Seal Installation Guide

Care and Maintenance

Marmoleum is extremely durable and simple to care for. The smooth surface is easy to clean - a dry-cloth sweeper for dust and a neutral cleaner and damp cloth for any spots - while thanks to the way it is made, its beautiful colors won't fade. Because Marmoleum is a natural product, it reaches room temperature quickly, ensuring your house is snug and warm. It can even be used with underfloor heating.

Marmoleum Cinch LOC SEAL has a strong, durable protective top layer – Topshield pro. This innovation from Forbo ensures a highly effective shield against dirt and scuff marks. Marmoleum with Topshield pro is ready for use immediately following installatioheory, but only Marmoleum with Topshield works well in the real world, where staining agents do not get removed in time, dirt and grit do not get cleaned up regularly, and your non-renewable finish gets permanent stains and scratches. Topshield has been designed to create a Marmoleum floor that meets the demands of everyday use and is even more resistant to dirt pick-up, less prone to wear and has improved resistance to scratches and stains, and thus creating a floor that demonstrates a lasting performance over time. Unlike PUR finishes that will show wear and dirt concentration encapsulated in micro scratches over time, Marmoleum with Topshield can be refreshed and renewed, generating a new finish, turning Marmoleum Cinch LOC Seal into what is probably the best performing resilient floor in the real world.

For information about the care and maintenance this floor, see page 8 of: Marmoleum Cinch LOC Seal Brochure

Shipping Information

Please review the following link for information about the shipping/delivery of flooring. Please contact us with any questions or special delivery needs. Important information about the shipping and delivery of flooring.

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]
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SKU: 96025654570

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4.1 ★★★★★
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Verified Purchase
Par
Houston, 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
Belleville, 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
Phoenix, 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
Natrona Heights, 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
Lowell, 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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