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Description
Universal Tubs Carnelian 5 ft. Center Drain Air Bath Tub in WhiteCarnelian 5 ft. Corner Air Bath Tub, Center Drain A luxurious corner air bath crafted from glossy white acrylic with fiberglass reinforcement. Designed with a center drain and soothing air jets, it delivers spa like relaxation while fitting elegantly into space efficient bathroom layouts. Key Features: Spa Like Air Massage: 29 Acu Stream air jets deliver a soothing, full body aero therapeutic experience Durable Acrylic Construction: Ultra white glossy
Carnelian 5 ft. Corner Air Bath Tub, Center Drain
A luxurious corner air bath crafted from glossy white acrylic with fiberglass reinforcement. Designed with a center drain and soothing air jets, it delivers spa-like relaxation while fitting elegantly into space-efficient bathroom layouts.
Key Features:
- Spa-Like Air Massage: 29 Acu-Stream air jets deliver a soothing, full-body aero-therapeutic experience
- Durable Acrylic Construction: Ultra-white glossy acrylic with multi-layer fiberglass reinforcement for long-lasting shine
- Comfort-Maintaining Heater: Integrated maintenance heater helps keep bath water warm for extended relaxation
- Easy Controls: Raised push-button controls reduce finger and joint strain for simple operation
- Corner-Friendly Design: Neo-angle, drop-in style with center drain optimizes space in corner installations
Please check the Product Data Sheet Here
Specifications Table:
| Specification | Details |
|---|---|
| Bath Therapy Type | Combination (Whirlpool and Air) |
| Color Family | White |
| Color/Finish | White |
| Control Type | Manual |
| Drain Location | Center |
| Exterior Bath Shape | Neo Angle |
| Faucet Mount | Variable |
| Included | Heater |
| Material | Acrylic |
| Maximum Number of Occupants | 1 Person |
| Number of Jets | 29 |
| Number of Jet Settings | 3 |
| Product Weight | 130 lb |
| Voltage | 110 V |
| Water Capacity | 65 gallons |
| Wattage | 2200 W |
| Certifications and Listings | IAPMO Listed |
| Manufacturer Warranty | Limited 10-year bathtub shell; 1-year parts; 90 days labor |
| Overall Length | 85 in |
| Overall Width | 63.625 in |
| Overall Height | 23 in |
| Basin Length | 43.5 in |
| Basin Width | 31.5 in |
| Soaking Depth | 14.875 in |
| Installation Type | Drop-In Corner |
| Features | Adjustable Jet Direction, Adjustable Jet Flow, Predrilled Drain Holes, Predrilled Overflow Holes, Slip-Resistant Tub |
| Pump/Blower | 1 HP pump & blower |
| Aromatherapy | Scent-infused aromatherapy capability |
Frequently Asked Questions (FAQ):
Q: Does this tub include a heater?
A: Yes, it includes a maintenance heater to help keep the bath water warm.
Q: What is the drain location?
A: Center drain.
Q: How many air jets are there?
A: 29 Acu-Stream air jets.
Q: What material is the tub made from?
A: Acrylic with fiberglass reinforcement.
Q: Is this a drop-in corner tub?
A: Yes, it’s a neo-angle drop-in corner bathtub designed for corner installations.
Sculpted Serenity for the Corner Retreat
The Carnelian bath brings a gentle, oval elegance to a corner—its glossy white shell and petal-like basin pattern feel serene and refined. The air-jetted embrace creates an indulgent, spa-forward ritual at home. Style it with warm stone surrounds and brushed nickel fixtures to echo its soft geometry. A luxurious essential that transforms daily unwinding into a beautifully curated experience.
Elevate your bath with spa-level comfort—add the Carnelian Air Bath to your corner retreat today.
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4.3 ★★★★★
Based on 23 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid.
I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets.
As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before.
I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt.
PROS:
- Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way.
- Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops.
- Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages.
- Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them.
- PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly.
CONS:
- Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste.
- Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
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Reviewed in the United States on February 26, 2022
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