SKU: 12371254610

Surfanic Maxim 3.0 120L Roller Bag - Anthracite Marl

Sale price$157.50 Regular price$175.00
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Description

Surfanic Maxim 3.0 120L Roller Bag - Anthracite MarlProduct Description Introducing the New Maxim 3. 0 120 Litre Roller Bag Leveraging the success of its predecessor, the Maxim 3. 0 enhances your storage options with a spacious 120 litre capacity, all while keeping the weight at just 5 kg. With a complete overhaul of the range, all 3. 0 Maxim luggage now features our new, stronger trolley system. The lightweight aluminum tubing has been significantly strengthened, and the reassuring swish of activation

Product Description

Introducing the New Maxim 3.0 120-Litre Roller Bag

Leveraging the success of its predecessor, the Maxim 3.0 enhances your storage options with a spacious 120-litre capacity, all while keeping the weight at just 5 kg. With a complete overhaul of the range, all 3.0 Maxim luggage now features our new, stronger trolley system. The lightweight aluminum tubing has been significantly strengthened, and the reassuring swish of activation feels effortless. Crafted from durable, waterproof, heavy-duty 600D polyester, this bag is reinforced in all the right places. It comes packed with features, including robust lockable zippers, premium low-noise integrated wheels, dual front grab handles, separate compartments, 4-way compression straps, and a kick plate for added durability.

Why Choose the Split-Level Roller Design?

The split-level roller design offers numerous advantages over traditional hard-shell suitcases. It makes traveling outside of airports easier, helps organize you

Features

120 litres of storage space: Perfect for extended travel.

Split-level design: Separate compartments for better organization, keeping wet away from dry or clean away from dirty.

Durable 2-way lockable zipper

Premium low-noise integrated wheels

4-way compression straps

Kick plate: Adds extra durability

Strong lightweight aluminum drag handle

Easy-find mesh with additional zipped pockets

Dual front grab handles

Corner guards

Fit

L:77 cm

W:43 cm

D:43 cm

Material Composition

Care

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SKU: 12371254610

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4.4 ★★★★★
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R. Cote
Grantham, 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
Waukegan, 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
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Thomas
Fort Morgan, 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
Omaha, 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
Massapequa, 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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