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Description
Motul 8100 Eco-Clean 0W-30 5L - 102889Motul 8100 Eco Clean 0W 30 5L is a 100% synthetic engine oil from the Motul range, designed for demanding engine protection and performance (102889). Verify specification and application before ordering. Product Details & Application Part Brand Motul SKU 102889 Part MPN 102889 GTIN Barcode 3374650238395 Product Type Engine Oil Viscosity 0W 30 Volume 5L Quality 100% Synthetic Application Engine Specifications Quality 100% Synthetic Viscosity Grade 0W
Motul 8100 Eco-Clean 0W-30 5L is a 100% synthetic engine oil from the Motul range, designed for demanding engine protection and performance (102889).
Verify specification and application before ordering.
Product Details & Application
- Part Brand
- Motul
- SKU
- 102889
- Part MPN
- 102889
- GTIN / Barcode
- 3374650238395
- Product Type
- Engine Oil
- Viscosity
- 0W-30
- Volume
- 5L
- Quality
- 100% Synthetic
- Application
- Engine
Specifications
| Quality | 100% Synthetic |
| Viscosity Grade | 0W-30 |
| Volume | 5L |
| OEM Approvals | ACEA C2, API Service SP, BMW LL-12 FE, Ford WSS-M2C950-A, MB 227.61, VW VWC 530 35 |
Application & Compatibility
- Application: Engine
- Category: 100% Synthetic
- Viscosity Grade: 0W-30
Compatibility Verification Notes
- Confirm the required viscosity grade and OEM specification match your vehicle manufacturer requirements before ordering.
- This listing is for a single 5L unit.
Common Questions
How do I confirm this is the right engine oil?
Match the required viscosity grade, OEM approval, and volume listed above against your vehicle manufacturer specifications before ordering.
What is the barcode for this product?
The GTIN/EAN for Motul 8100 Eco-Clean 102889 is 3374650238395.
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4.1 ★★★★★
Based on 21 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on August 25, 2018
★★★★★ 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.
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Reviewed in the United States on May 23, 2026
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it.
I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this.
It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited.
There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending.
I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art.
Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life.
Every other night in random or toughest moment I would think about what would mark do in this situation.
Thank you for this masterpiece ❤️
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Reviewed in the United States on September 18, 2025
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