SKU: 91455058877

Mishimoto Universal Oil Cooler Kit, 13-Row, Silver

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Description

Mishimoto Universal Oil Cooler Kit, 13-Row, SilverProper oil temperature regulation is key to extending and preserving the life of your stock or high performance engine. Keep your temperatures in check with the Mishimoto universal oil cooler kit. This kit is applicable for most vehicles and includes all key components for reducing oil temperatures and providing your engine with extra protection against oil degradation. This kit includes a billet anodized aluminum sandwich plate in either standard or

Proper oil temperature regulation is key to extending and preserving the life of your stock or high performance engine. Keep your temperatures in check with the Mishimoto universal oil cooler kit. This kit is applicable for most vehicles and includes all key components for reducing oil temperatures and providing your engine with extra protection against oil degradation. This kit includes a billet anodized aluminum sandwich plate in either standard or thermostatic form. The optional Mishimoto thermostatic sandwich plate provides additional temperature control and will limit oil flow to the cooler until optimal temperatures are reached, making it ideal for those in cooler climates. The included core is our proven Mishimoto 13 row stacked plate cooler which can withstand high fluid pressures and significantly reduce oil temperatures while exhibiting minimal pressure loss. This kit includes both a -16 and M20-1.5 sandwich plate adapter which supports fitment for most makes and models. This kit also includes pre-assembled stainless steel braided oil lines with -10AN fittings and dowty seals for durable, leak free connections. Whether you are piloting a boosted rotary or blown small block the Mishimoto universal oil cooler kit will provide the efficiency you need to stay on the track and out of the shop. As with all our products this kit includes the Mishimoto Lifetime Warranty. Please note: Mishimoto fully inspects and cleans all products prior to packaging. However, it is recommended that customers flush the oil cooler with one quart of clean oil prior to installation to remove any debris accumulated during shipping. Please feel free to contact us at [email protected] if you have any questions.

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SKU: 91455058877

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4.4 ★★★★★
Based on 15 reviews
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Shannon
Dallas, 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!!
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Reviewed in the United States on November 30, 2025
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Verified Purchase
William P Ross
New York, 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.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Fort Morgan, 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.
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Reviewed in the United States on May 22, 2026
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Verified Purchase
Amazon Customer
West Palm Beach, 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
Cuba, 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.
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Reviewed in the United States on May 15, 2018

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