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Description
Energy Suspension GM Spring Isolator Set - RedMade of superior Hyper Flex (TM) material. Saves replacing again and again, lasting 3 to 10 times longer. Assemble to chassis the same way as OEM isolators and do not adversely change ride characteristics. This Part Fits: Year Make Model Submodel 1995 1999 Chevrolet Blazer Base 1996 2004 Chevrolet Blazer LS 1995 2001 Chevrolet Blazer LT 2001 2004 Chevrolet Blazer Xtreme 2004 Chevrolet Blazer ZR2 1982 2003 Chevrolet S10 Base 1982 1990 Chevrolet S10
Made of superior Hyper-Flex (TM) material. Saves replacing again and again, lasting 3 to 10 times longer. Assemble to chassis the same way as OEM isolators and do not adversely change ride characteristics.This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 1995-1999 | Chevrolet | Blazer | Base |
| 1996-2004 | Chevrolet | Blazer | LS |
| 1995-2001 | Chevrolet | Blazer | LT |
| 2001-2004 | Chevrolet | Blazer | Xtreme |
| 2004 | Chevrolet | Blazer | ZR2 |
| 1982-2003 | Chevrolet | S10 | Base |
| 1982-1990 | Chevrolet | S10 | Durango |
| 1992-1993 | Chevrolet | S10 | EL |
| 1994-2003 | Chevrolet | S10 | LS |
| 1982-1989 | Chevrolet | S10 | Sport |
| 1994-1998 | Chevrolet | S10 | SS |
| 1982-1992 | Chevrolet | S10 | Tahoe |
| 1999-2003 | Chevrolet | S10 | Xtreme |
| 1983-1994 | Chevrolet | S10 Blazer | Base |
| 1994 | Chevrolet | S10 Blazer | LT |
| 1983-1990,1992 | Chevrolet | S10 Blazer | Sport |
| 1983-1988,1990-1994 | Chevrolet | S10 Blazer | Tahoe |
| 1991-1994 | Chevrolet | S10 Blazer | Tahoe LT |
| 1992-1996 | GMC | Jimmy | Base |
| 2000-2001 | GMC | Jimmy | Diamond Edition |
| 1998-2000 | GMC | Jimmy | Envoy |
| 1995-1999,2001 | GMC | Jimmy | SL |
| 1992-2001 | GMC | Jimmy | SLE |
| 1993-2001 | GMC | Jimmy | SLS |
| 1992-2001 | GMC | Jimmy | SLT |
| 1982-1990 | GMC | S15 | Base |
| 1987 | GMC | S15 | EL |
| 1983,1986-1988 | GMC | S15 | Gypsy |
| 1982-1990 | GMC | S15 | High Sierra |
| 1982-1990 | GMC | S15 | Sierra Classic |
| 1982 | GMC | S15 | Sierra Grande |
| 1983-1991 | GMC | S15 Jimmy | Base |
| 1983-1990 | GMC | S15 Jimmy | Gypsy |
| 1983-1990 | GMC | S15 Jimmy | Sierra Classic |
| 1991 | GMC | S15 Jimmy | SLE |
| 1991 | GMC | S15 Jimmy | SLS |
| 1991 | GMC | S15 Jimmy | SLT |
| 1988-1989 | GMC | S15 Jimmy | Timberline |
| 1991-1993 | GMC | Sonoma | Base |
| 1992 | GMC | Sonoma | GT |
| 1994-2003 | GMC | Sonoma | SL |
| 1991-2001 | GMC | Sonoma | SLE |
| 1993-2003 | GMC | Sonoma | SLS |
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4.9 ★★★★★
Based on 22 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024
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