SKU: 27038056064

COMP Cams Solid Lifters Ford 352-428 Sh

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Description

COMP Cams Solid Lifters Ford 352-428 ShSolid Mechanical Flat Tappet Lifters (16)Designed and manufactured using the tightest tolerances in the industry for ultra precise constructionOil metering band is milled to exact depth to prevent too much oil from being delivered to the top of the engineFace of the lifter is ground to precise radius for proper break in and guaranteed longer lifeApplications: Ford Big Block V8 FE 352 428 (Shell Type) Specifications . 875" Diameter 61g Weight . 46"

Solid/Mechanical Flat Tappet Lifters (16)Designed and manufactured using the tightest tolerances in the industry for ultra-precise constructionOil metering band is milled to exact depth to prevent too much oil from being delivered to the top of the engineFace of the lifter is ground to precise radius for proper break-in and guaranteed longer lifeApplications: Ford Big Block V8 FE 352-428 (Shell Type) Specifications .875" Diameter - 61g Weight - .46" Seat Height (Shell Type).

Catalog
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This Part Fits:

Year Make Model Submodel
1963 Ford 300 Base
1958-1959 Ford Club Base
1958-1971 Ford Country Sedan Base
1958-1971 Ford Country Squire Base
1957-1958 Ford Courier Sedan Delivery Base
1964-1971 Ford Custom Base
1959-1960 Ford Custom 300 Base
1964-1971 Ford Custom 500 Base
1958 Ford Del Rio Wagon Base
1976 Ford F-100 Base
1975-1976 Ford F-100 Custom
1975-1976 Ford F-100 Northland
1975-1976 Ford F-100 Ranger
1975-1976 Ford F-100 Ranger XLT
1976 Ford F-150 Base
1975-1976 Ford F-150 Custom
1975-1976 Ford F-150 Northland
1975-1976 Ford F-150 Ranger
1975-1976 Ford F-150 Ranger XLT
1968-1974,1976 Ford F-250 Base
1975-1976 Ford F-250 Custom
1975-1976 Ford F-250 Northland
1975-1976 Ford F-250 Ranger
1975-1976 Ford F-250 Ranger XLT
1976 Ford F-350 Base
1975-1976 Ford F-350 Custom
1975-1976 Ford F-350 Northland
1975-1976 Ford F-350 Ranger
1975-1976 Ford F-350 Ranger XLT
1959-1961,1964-1970 Ford Fairlane 500
1966-1967 Ford Fairlane 500XL
1959-1961,1964-1969 Ford Fairlane Base
1959-1967 Ford Galaxie Base
1961 Ford Galaxie Club Victoria
1960 Ford Galaxie Special
1961 Ford Galaxie Starliner
1961 Ford Galaxie Sunliner
1961 Ford Galaxie Town Victoria
1962-1971 Ford Galaxie 500 Base
1962-1964 Ford Galaxie 500 Sunliner
1962-1964 Ford Galaxie 500 Victoria
1962-1970 Ford Galaxie 500 XL
1965-1971 Ford LTD Base
1970-1971 Ford LTD Brougham
1971,1973 Ford M-400 Base
1974 Ford M-450 Base
1967-1970 Ford Mustang Base
1970 Ford Mustang Grande
1970 Ford Mustang Mach 1
1968-1970 Ford Mustang Shelby GT-500
1968 Ford Mustang Shelby GT-500KR
1958-1971 Ford Ranch Wagon Base
1970 Ford Ranch Wagon Police Cruiser
1968-1969 Ford Ranchero 500
1957-1959,1967-1969 Ford Ranchero Base
1968-1969 Ford Ranchero GT
1958-1959 Ford Skyliner Base
1960 Ford Starliner Base
1958-1960 Ford Sunliner Base
1958-1968 Ford Thunderbird Base
1968-1969 Ford Torino Base
1969 Ford Torino Cobra
1968-1969 Ford Torino GT
1969 Ford Torino Squire
1958-1960 Ford Victoria Base
1967 Mercury Brougham Base
1965-1967 Mercury Caliente Base
1961-1970 Mercury Colony Park Base
1965-1969 Mercury Comet Base
1961-1962,1964-1968 Mercury Commuter Base
1967-1970 Mercury Cougar Base
1969-1970 Mercury Cougar Boss 429
1969-1970 Mercury Cougar Cobra Jet
1967-1970 Mercury Cougar XR-7
1965-1969 Mercury Cyclone Base
1969 Mercury Cyclone CJ
1969 Mercury Cyclone Spoiler
1963-1966,1969-1970 Mercury Marauder Base
1969-1970 Mercury Marauder X-100
1967-1970 Mercury Marquis Base
1970 Mercury Marquis Brougham
1961 Mercury Meteor Base
1964-1968 Mercury Montclair Base
1968-1969 Mercury Montego Base
1968-1969 Mercury Montego MX
1961-1970 Mercury Monterey Base
1963,1969-1970 Mercury Monterey Custom
1962 Mercury Monterey Custom S-55
1963,1966-1967 Mercury Monterey S-55
1964-1968 Mercury Park Lane Base
1965-1967 Mercury Villager Base
1966-1967 Mercury Voyager Base
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SKU: 27038056064

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4.4 ★★★★★
Based on 5 reviews
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A
Verified Purchase
Adam
Charlottesville, 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
Bozeman, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Boise, 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
S
Verified Purchase
Stergios Papadimitriou
Louisville, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2018
S
Verified Purchase
Sabrina
Cuba, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 23, 2026

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