SKU: 8211764743

Porterfield Brake Pads for 1999 GMC ENVOY

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Description

Porterfield Brake Pads for 1999 GMC ENVOYPorterfield Brake Pads for 1999 GMC ENVOY Porterfield R4 Porterfield R4 Carbon Kevlar based brake pads were fully designed for heavy duty extreme motorsports use. Its one of the the few true motorsports competition pads available on the market today. The carbon based semi metallic R4 brake material allows the brake pad to absorb huge amounts of heat and dissipate it quickly and evenly over time. The Carbon Kevlar material also allows the brake pad to

Porterfield Brake Pads for 1999 GMC ENVOY

Porterfield R4

Porterfield R4 Carbon Kevlar based brake pads were fully designed for heavy-duty extreme motorsports use. Its one of the the few true motorsports competition pads available on the market today. The carbon based semi metallic R4 brake material allows the brake pad to absorb huge amounts of heat and dissipate it quickly and evenly over time. The Carbon-Kevlar material also allows the brake pad to heat up to operating temperature right away so little pad warmup is required for optimal operating condition. This compound also requires very little bed-in so that one is able to change out the pads and almost immediately able use them to their full potential.

R4 series provides high initial bite for immediate brake response while yielding extremely consistent modulation and predictability. This is great for all road courses, oval track, rally, vintage racing, autocross, club events, and professional driving events. This is one of the best motorsports pads we have used. Available for many applications, so please contact us if you do not see one for your car.

Porterfield R4-1

The R4-1 Vintage Full Race Compound was developed using knowledge testing in the vintage racing community. Optimum uses for the R4-1, under conditions where very high friction is needed with minimal warm up time and in applications where there is difficulty in maintaining sufficient heat with conventional race pad compounds. Widely used on vintage GT and formula cars the R4-1 is also gaining popularity in off-road and rally-cross classes. Great modulation, consistent pedal feedback and rotor friendly at all temperatures as with all the other Porterfield Carbon Kevlar compounds.

Porterfield R4-E

The R4-E Endurance Race Compound is a carbon kevlar compound made to last a bit longer than the original R-4 compound. The R4-E compound is designed to endure higher prolonged temperature and still has pad life as long or longer than Porterfield R-4 do. This pad is great for club enduro events and applications where temperatures are at their maximum.

Porterfield R4-S

Porterfield R4-S high performance street and autocross brake pads are great for heavy-duty street and light track applications. Compound is perfect for everyday use while still keeping the highly capable track ready performance. The R4-S features a high friction level that will increase your stopping power with minimal pedal effort.

The R4-S series pads are VERY VERY rotor friendly and yield very low levels of dust; levels are far below OEM equipment or any other high performance brake pads. Your car will stop better and your wheels will stay cleaner longer. Good for autocross, rallies, driving school, and of course daily driving with a little extra stopping power. R4-S pads are available for virtually all vehicles sold in the US and custom R4-S pad sizes for competition style calipers are also available.

This is one of the very best all around street/strip brake pads available at a great price.

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SKU: 8211764743

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4.4 ★★★★★
Based on 26 reviews
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Shannon
West Palm Beach, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
San Leandro, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Whiting, US
★★★★★ 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
A
Verified Purchase
Amazon Customer
Grantham, US
★★★★★ 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
M
Verified Purchase
mackster
Draper, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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