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Description
ICON 07-18 GM 1500 0-1.5in Rear 2.5 Series Shocks VS PB - PairICON Vehicle Specific (V. S.) 2. 5 Aluminum Series shocks are designed and built to give your vehicle outstanding performance off road and a smooth ride on the street. These shocks are configured specifically for each application in both length and damping tune. Like all ICON'S Shock Absorbers, V. S. 2. 5 Aluminum Series shocks are 100% rebuildable and 100% revalveable. For piggyback and specific remote reservoir applications, ICON'S unique use of a
ICON Vehicle Specific (V.S.) 2.5 Aluminum Series shocks are designed and built to give your vehicle outstanding performance off-road and a smooth ride on the street. These shocks are configured specifically for each application in both length and damping tune. Like all ICON'S Shock Absorbers, V.S. 2.5 Aluminum Series shocks are 100% rebuildable and 100% revalveable. For piggyback and specific remote reservoir applications, ICON'S unique use of a 6061 billet aluminum manifold a few inches below the top cap of the shock creates an internal Bump Zone that when used creates an additional 20% of damping force. This additional force helps prevent harsh bottom outs and controls the suspension when compressing at high velocity. If you are looking for a more user defined tune, consider looking into the Compression Damping Control Valve (CDCV).This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2016-2018 | Chevrolet | Silverado 1500 | Custom |
| 2014-2018 | Chevrolet | Silverado 1500 | High Country |
| 2009-2013 | Chevrolet | Silverado 1500 | Hybrid |
| 2007-2013,2015-2018 | Chevrolet | Silverado 1500 | LS |
| 2007-2018 | Chevrolet | Silverado 1500 | LT |
| 2007-2018 | Chevrolet | Silverado 1500 | LTZ |
| 2015-2018 | Chevrolet | Silverado 1500 | SSV |
| 2007-2018 | Chevrolet | Silverado 1500 | WT |
| 2010-2013 | Chevrolet | Silverado 1500 | XFE |
| 2019 | Chevrolet | Silverado 1500 LD | Custom |
| 2019 | Chevrolet | Silverado 1500 LD | LT |
| 2019 | Chevrolet | Silverado 1500 LD | WT |
| 2014-2018 | GMC | Sierra 1500 | Base |
| 2007-2018 | GMC | Sierra 1500 | Denali |
| 2009-2013 | GMC | Sierra 1500 | Hybrid |
| 2007-2013 | GMC | Sierra 1500 | SL |
| 2007-2018 | GMC | Sierra 1500 | SLE |
| 2007-2018 | GMC | Sierra 1500 | SLT |
| 2007-2013 | GMC | Sierra 1500 | WT |
| 2010-2013 | GMC | Sierra 1500 | XFE |
| 2019 | GMC | Sierra 1500 Limited | Base |
| 2019 | GMC | Sierra 1500 Limited | SLE |
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4.5 ★★★★★
Based on 9 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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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