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Description
Rambo Airmax Liner, 0 g Black/Black/White 155A fabulous addition to your horse's Rambo rug range, the Rambo Airmax Liner (No Fill) harnesses fabric technology to deliver a moisture wicking and warm layer to complement your Rambo outer rug. The Rambo Airmax Liner is made from an 'airmesh' fabric which boasts an ultra soft super absorbent inner which helps wick away moisture from your horse's body while encouraging natural airflow. The innovative 3D construction keeps your horse warm in cold
A fabulous addition to your horse's Rambo® rug range, the Rambo® Airmax Liner (No Fill) harnesses fabric technology to deliver a moisture-wicking and warm layer to complement your Rambo® outer rug. The Rambo® Airmax Liner is made from an 'airmesh' fabric which boasts an ultra-soft super absorbent inner which helps wick away moisture from your horse's body while encouraging natural airflow. The innovative 3D construction keeps your horse warm in cold weather and allows the rug's construction to breathe in hot weather, making it an extremely versatile liner choice. The liner attaches by hook-and-loop loops to the neck area of your outer rug and clips onto the back corners to prevent the liner from slipping, giving you a secure fit and peace of mind. Featuring a contoured neckline, single hook-and-loop front closure and a front leg arch design for enhanced freedom of movement, this liner is an excellent option for horse owners who want more choice and flexibility from their existing rug range.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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- If time is of the essence, please consider selecting expedited delivery for faster service.
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4.0 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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