SKU: 69453274124

LEGO® Architecture 21062 Trevi Fountain

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Description

LEGO® Architecture 21062 Trevi FountainEmbrace your love of Italian landmarks, history and travel with this collectible LEGO Architecture Trevi Fountain (21062) Rome memorabilia building set for adults. This nostalgic birthday gift or Christmas present immerses you in the history and mythology of the fountain as you build, reimagining sculptures in minifigure form. The model is meant to recreate the experience of viewing the fountain on a sunny day. Experience updated building techniques

Embrace your love of Italian landmarks, history and travel with this collectible LEGO® Architecture Trevi Fountain (21062) Rome memorabilia building set for adults. This nostalgic birthday gift or Christmas present immerses you in the history and mythology of the fountain as you build, reimagining sculptures in minifigure form. The model is meant to recreate the experience of viewing the fountain on a sunny day.

Experience updated building techniques while creating authentic details like the facade of the Palazzo Poli and iconic statues of Oceanus in his shell chariot and Abundance and Health in minifigure form. There’s also hippocampi and Tritons in the water, the small ‘Lovers’ Fountain’ off to the side, and a nameplate to complete a spectacular desk display model of the Trevi Fountain.

This set from the LEGO Architecture series will appeal to you or any creative adults who are lovers of history, art, travel or Italy, plus it’s the perfect Rome memorabilia that any architecture fan would be proud to own.

  • Trevi Fountain model landmark – Embrace every step in the architectural recreation of an iconic Rome baroque monument with this 1,880-piece Trevi Fountain nostalgic gift building kit for adults
  • Memorabilia for history and travel-lovers – Your building journey lets you recreate the iconic Rome fountain in all its glory, while enjoying updated building techniques and more
  • Authentically detailed model – Admire the facade’s backdrop, the details of the statue figures, mini hippocampi and small ’Lovers’ Fountain’, plus other items that enhance and complete the model
  • Italian memorabilia for the home – Place buildable streetlamps and bollards at the front of the fountain and attach the nameplate to the base at the front of the building, then place it on display
  • LEGO® Trevi Fountain gift for adults – This collectible home decor LEGO set makes a great present for you or another creative adult who is a lover of history, architecture, travel or Italy
  • Step-by-step guide – Find building instructions in the included booklet, which features the history of the Trevi Fountain landmark, or follow a digital version on the LEGO® Builder app
  • LEGO® Sets for Adults – This LEGO Architecture model is part of an assortment of premium-quality building sets for adults like you who enjoy hands-on creative activities
  • Collectible model dimensions – This 1,880-piece nostalgic gift display model measures over 25 cm (10 in.) high, 38 cm (15 in.) wide and 18 cm (7 in.) deep
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SKU: 69453274124

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4.5 ★★★★★
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Verified Purchase
Amazon Customer
New York, 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
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Kindle Customer
Los Angeles, 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
T
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Tommy Jonsson
Cuba, 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
M
Verified Purchase
Moses Kayanda
Grantham, 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
Birmingham, 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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