SKU: 7620650069

Black Check Designer iPhone 15 Plus Case – Skewed Checks | MagSafe

Sale price$40.46 Regular price$44.95
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Description

Black Check Designer iPhone 15 Plus Case – Skewed Checks | MagSafeA black and white checkerboard knocked off its grid, oversized squares shifted and misaligned so the rhythm stumbles on purpose. The broken pattern reads as motion, never quite settling. Edgy and contemporary, two tones doing all the work a classic checker that decided to misbehave. Designed for iPhone 15 Plus. CoreShock 10ft Drop Protection our signature drop protection technology, built into the case. You won't see it. Your phone won't feel a thing.

A black-and-white checkerboard knocked off its grid, oversized squares shifted and misaligned so the rhythm stumbles on purpose. The broken pattern reads as motion, never quite settling. Edgy and contemporary, two tones doing all the work — a classic checker that decided to misbehave. Designed for iPhone 15 Plus.

CoreShock™ 10ft Drop Protection — our signature drop-protection technology, built into the case. You won't see it. Your phone won't feel a thing.

MagSafe Ready — N52 magnets, 1600g hold. Snaps onto chargers and car mounts first try, every time.

Soft Microfibre Lining — a smooth inner layer that keeps the back of your phone safe from scuffs, scratches, and daily wear.

Glossy finish with scratch-resistant coating — colours stay bright and the design stays fresh, even months down the line.

Printed in our London studio. Made with 50% recycled materials. Every order ships in a gift box with a velvet pouch. If it's for someone else, you don't need to wrap it.

Why this is the best iPhone 15 Plus case

Designed to fit the iPhone 15 Plus precisely — every port, button, and camera cut-out lines up exactly where it should. It stays slim enough to slip into a pocket while CoreShock™ takes the hits a phone actually takes: the kitchen floor, the car park, the bottom of a bag. Because the print sits under a scratch-resistant gloss, the art that made you choose it still looks new months later. No bulk, no compromise — protection you forget is there until you need it.

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Exchange/Return Notes
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SKU: 7620650069

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4.4 ★★★★★
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R. Cote
Chelsea, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Chelsea, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
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Thomas
Waukegan, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Massapequa, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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Verified Purchase
3rd Act
Grantham, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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