SKU: 21143785358
stokke tripp trapp black high chair

stokke tripp trapp black high chair Stokke Tripp Trapp High Chair² & Cushion with Tray

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Description

stokke tripp trapp black high chair Stokke Tripp Trapp High Chair² & Cushion with TrayThe Stokke Tripp Trapp High Chair with Cushion and Tray is a versatile seating solution designed for children aged 6 to 50 months. Created by Peter Opsvik in 1972, it features a timeless design that promotes family bonding by bringing your child to the table for shared meals and moments. The intelligently adjustable seat and footplates grow with your child, ensuring ergonomic support, while the baby set with a secure 5 point harness provides safety

The Stokke Tripp Trapp® High Chair with Cushion and Tray is a versatile seating solution designed for children aged 6 to 50 months. Created by Peter Opsvik in 1972, it features a timeless design that promotes family bonding by bringing your child to the table for shared meals and moments. The intelligently adjustable seat and footplates grow with your child, ensuring ergonomic support, while the baby set with a secure 5-point harness provides safety and side support for sitters who are still developing their balance.

Made from sustainably sourced European materials, this high chair meets JPMA and ASTM safety standards, combining style with peace of mind. Coated with water-based, non-toxic paint and capable of supporting up to 300 lbs, it is designed for durability and longevity, making it suitable for years of family use. The included cushion and tray enhance comfort and functionality, making it ideal not only for mealtimes but also for other family activities.

Stokke®, founded in Ålesund, Norway in 1932, is a Scandinavian brand known for innovative, high-quality baby gear designed to grow with your child. From the iconic Tripp Trapp® High Chair to strollers, nursery furniture, and carriers, Stokke® products emphasize safety, sustainability, and parent-child connection. With ergonomic designs and timeless style, Stokke® blends function and beauty to support your family’s journey. Explore Stokke® at ANB Baby for thoughtfully crafted baby gear that brings families closer every day.

Stokke Tripp Trapp® High Chair 2 with Cushion and Stokke Tray Features:

  • Complete Bundle: Includes the Tripp Trapp® chair, Baby Set with harness, Disney , Stokke® Mickey Celebration cushion, and Stokke® Tray.

  • Ergonomic Design: Adjustable seat and footplate for optimal comfort and support as your child grows.

  • Newborn Ready: The Newborn Set elevates your baby to table height and includes a 5-point harness with protective shoulder pads.

  • Longevity: Supports up to 300 lbs, designed for use from 6 months to adulthood.

  • Durable Construction: Made with sustainable, high-quality beech or oak wood.

  • Convenient Care: Machine-washable cushion and detachable harness for easy cleaning.

  • Timeless Aesthetic: Available in multiple wood finishes and vibrant cushion designs.

  • Safety Assurance: Certified by JPMA, meets or exceeds all ASTM safety standards, and free from bisphenol and phthalates.

  • Easy Adjustments: Harness and seat adjustments are quick and simple with added flexibility for a customized fit.

See Entire Stokke Collection

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SKU: 21143785358

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Amazon Customer
Lake Worth, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Kindle Customer
Grantham, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
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Tommy Jonsson
Whiting, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Moses Kayanda
Draper, US
★★★★★ 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.
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Reviewed in the United States on March 1, 2022
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Gabe Rigall
Houston, US
★★★★★ 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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