SKU: 40709365438

Car Art 992 Yellow Skateboard Deck 7-ply Hardrock Canadian Maple Racing GT3 V1

$64.79 $71.99
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Ships within 48 hours · Estimated delivery Jul 18 - Jul 23

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Description

Car Art 992 Yellow Skateboard Deck 7-ply Hardrock Canadian Maple Racing GT3 V1These are 7 ply Hard Rock Canadian Maple Cold Pressed In The USA. (Huntington Beach California or Nevada). 8. 25" x 32" Medium Concave. These decks are pre drilled for either truck mounting or wall mounting. They are real skateboards, so yes, they can be skated though most people hang them up for wall art. Here are the mounts we offer. These are a very limited production run. Please don't hesitate to reach out prior to ordering to verify stock etc. As

These are 7 ply Hard Rock Canadian Maple Cold Pressed In The USA. (Huntington Beach California or Nevada). 8.25" x 32" Medium Concave.  These decks are pre-drilled for either truck mounting or wall mounting.  They are real skateboards, so yes, they can be skated--though most people hang them up for wall art. Here are the mounts we offer. 


These are a very limited production run.  


Please don't hesitate to reach out prior to ordering to verify stock etc.


As of 02/23/2023, deck production is averaging 7-14 days. If you need a deck for gift in a particular timeframe, please reach out---we do have various decks in stock and we have other options to get decks produced faster (more expensive).


We also offer custom decks with your own car, they are $130 shipped if you don't mind us selling to others (and if its something we think will sell well to our customers). If you want it to only be sold to you, the price is $150 shipped.


USA only at this point (I do have shipping set up for decks shipping to Canada, Australia and a few other countries--please do not select the standard apparel shipping if you are from outside the USA--the shipping amount should be at least $20)...please email us for other countries and we'll get a custom quote to you.

If you require a different width, please reach out---we can make that happen.
Shipping Notes
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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: 40709365438

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4.9 ★★★★★
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CL
Boise, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Verified Purchase
Amazon Customer
Birmingham, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
M
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MrGee
Whiting, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Lake Worth, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Lowell, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025

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