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Description
2024-2025 Lexus GX550 1.25-3 Inch Lift Stage 2 Suspension System Billet Icon Vehicle DynamicsICON Vehicle Dynamics 2024 2025 Lexus GX550 suspension systems are designed with maximum performance and the serious driver in mind. ICON engineers' primary focus is to increase wheel travel and damping ability, which translates into outstanding vehicle control and ride quality both on and off road. The Stage 2 system includes vehicle specific tuned 2. 5 Series coilover shocks featuring internal reservoirs for exceptional cooling properties and ICON
ICON Vehicle Dynamics 2024-2025 Lexus GX550 suspension systems are designed with maximum performance and the serious driver in mind. ICON engineers' primary focus is to increase wheel travel and damping ability, which translates into outstanding vehicle control and ride quality both on- and off-road.
The Stage 2 system includes vehicle-specific tuned 2.5 Series coilover shocks featuring internal reservoirs for exceptional cooling properties and ICON-engineered coil springs for superior vehicle Inchfeel Inch through the range of travel. These coilovers are height adjustable from 1.25-3 Inch of front lift height over stock, allowing the use of larger, more aggressive wheel and tire combinations.
The combination of front differential drop brackets and ICON's specifically designed coilover lengths maximizes the available front suspension travel and prevent CV bind. Additionally, polyurethane differential mounting bushings replace the soft OE bushings to help limit differential movement under load.
Features and Benefits:- The included ICON billet aluminum upper control arm kit is designed to improve the overall performance of the GX550 with corrected front-end geometry, increased on-vehicle camber and caster adjustment, and improved suspension component clearance. Additionally, replacing the OE ball joint with the all-new, serviceable, and rebuildable ICON Delta Joint PRO allows for full bump and droop travel of the front suspension while eliminating bind. The dual-rate rear coil design provides a softer ride height spring rate with a firmer overload rate that combine to deliver on-road comfort with excellent bottoming resistance and superior off-road performance. 2 Inch of rear lift height over stock allows a for level stance front to rear. ICON 2.0 Aluminum Series internal reservoir rear shocks utilize a vehicle-specific valving that balances the performance of the truck from front to rear. The ICON Vehicle Dynamics 2024-2025 Lexus GX550 Stage 2 suspension system is an excellent choice for those drivers looking to enhance the capabilities of their pickup on the road as well as in the dirt.
- Vehicle specific tuned front and rear shocks for superior shock damping and control
- Increased wheel travel and improved ride quality over stock
- Front differential drop provides better maximum operating angle for CV joints and maximizes available wheel travel
- Adjustable coilovers provide 1.25-3 Inch front lift height over stock
- Billet aluminum UCAs for added strength, durability, and on-vehicle caster/camber adjustment for optimum drivability
- UCAs feature the patented (U.S. Pat. 10,731,700) Delta Joint Pro with 90 degrees of total articulation
- 6061 aircraft grade aluminum CNC machined components
- Corrosion resistant CAD plated coilover shock bodies with 7/8 Inch shafts
- Dual rate rear coil springs improve performance and ride quality while providing 2 inch of rear lift
- FK Rod End bearings for extended longevity and minimal deflection
- 2.0 Aluminum Series internal reservoir rear shocks with 5/8 Inch shafts
- Active Or Passive Suspension: Passive
- Adjustable Compression: No
- Adjustable Control Arm: Yes
- Adjustable Damping: No
- Adjustable Rebound: No
- Bushings Included: Yes
- Coil Quantity Front: 2.0
- Coil Spring Color: Black
- Coil Spring Material: Steel
- Coils Quantity Front: 2.0
- Coils Quantity Rear: 2.0
- Front Reservoir Style: Internal
- Front Shock Body Diameter: 2.5
- Front Spring Rate Type: Linear
- Grade Type: Performance
- Maximum Lift: 3.0 Inch
- Maximum Lift Front: 3.0 Inch
- Maximum Lift Height Front: 3.0 Inch
- Maximum Lift Height Rear: 2.0 Inch
- Maximum Lift Rear: 2.0 Inch
- Minimum Lift Front: 1.25 Inch
- Mounting Hardware Included: Yes
- Oem Wheels & Tires Fitment: Yes
- Rear Reservoir Style: Internal
- Rear Shock Body Diameter: 2.0
- Rear Spring Rate Type: Progressive Dual Rate
- Recommended Aftermarket Tires: 34 Inch X 11.50 Inch (Larger Tires May Fit But Fender Trimming And Modifications Will Be Required.)
- Recommended Aftermarket Wheels: Icon Alloys - 18x9 With 6.6 Inch Backspace / 40mm Offset, 17x8.5 With 6.32 Inch Backspace / 40mm Offset
- Shocks Included: Yes
- Spring Color: Black
- Spring Material: Steel
- Add On Part: 54202 - 22-25 Tundra/23-25 Sequoia/24-25 Taco/LC250/GX550/25 T4R Blt Adj Track Bar, 191014 - .25 Inch Collar Spanner Pin Wrench, 54102 - 22-25 Tundra/23-25 Sequoia/24-25 Taco/LC250/GX550/25 T4R Blt Upr Link Kit, 198001 - Billet Spanner Wrench Kit, 191013 - Nipple Greasing Adapter Kit, 54003 - 24-25 LC250/24-25 GX550/25 4Runner Billet Rear Lower Link Kit, 191009 - Icon Long 2.5 Coil Wrap W/Logo (14.5-15.5), 198000 - 2 Pin Coilover Spanner Wrench Kit, 56100 - 07-14 FJ Cruiser 03-25 4Runner/22-25 Tundra/23-25 Sequoia Rear Shin Guards, 56118 - 24-25 GX550 Front Skid Plate Kit, 56119 - 24-25 GX550 Trans Skid Plate Kit, 56124 - 24-25 Lexus GX550 Front Fascia
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4.3 ★★★★★
Based on 23 reviews
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Product Reviews
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry.
The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff!
If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected.
The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading.
If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026
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