SKU: 68156024534

Rancho 84-95 Toyota Pickup Front RS5000X Shock

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Description

Rancho 84-95 Toyota Pickup Front RS5000X ShockBUILT TO LAST Low friction, self lubricating seal retains gas and oil for quicker rebound and smoother compression while the application specific piston delivers heightened control of shock motion due to the expanded piston area This Part Fits: Year Make Model Submodel 1997 2004 Dodge Dakota Base 1998 2003 Dodge Dakota R T 1997 2004 Dodge Dakota SLT 2004 Dodge Dakota SLT Plus 1997 2004 Dodge Dakota Sport 2004 Dodge Dakota Sport Plus 2002,2004 Dodge

BUILT TO LAST -- Low-friction, self-lubricating seal retains gas and oil for quicker rebound and smoother compression while the application-specific piston delivers heightened control of shock motion due to the expanded piston area

This Part Fits:

Year Make Model Submodel
1997-2004 Dodge Dakota Base
1998-2003 Dodge Dakota R/T
1997-2004 Dodge Dakota SLT
2004 Dodge Dakota SLT Plus
1997-2004 Dodge Dakota Sport
2004 Dodge Dakota Sport Plus
2002,2004 Dodge Dakota SXT
1999-2001 Dodge Durango Base
1999-2003 Dodge Durango SLT
1999-2000,2002-2003 Dodge Durango SLT Plus
2000,2002-2003 Dodge Durango Sport
2003 Dodge Durango SXT
1984-1995 Toyota Pickup Base
1984-1995 Toyota Pickup DLX
1984-1995 Toyota Pickup SR5
1985-1988 Toyota Pickup SR5 Turbo
1993-1998 Toyota T100 Base
1996-1997 Toyota T100 DLX
1994-1995 Toyota T100 DX
1993 Toyota T100 One-Ton
1995 Toyota T100 One-Ton DLX
1993-1998 Toyota T100 SR5
2004 Toyota Tacoma Base
1998 Toyota Tacoma DLX
2001-2004 Toyota Tacoma S-Runner
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SKU: 68156024534

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MrGee
Lowell, US
★★★★★ 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
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Verified Purchase
R. Cote
Charlottesville, 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
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Reviewed in the United States on April 5, 2025
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Verified Purchase
Rafael Azevedo Souza Costa
Lake Worth, US
★★★★★ 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
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Thomas
Whiting, 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
Los Angeles, 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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