SKU: 67047144076

2022 Renault Trafic / Rear Tailgate light (R/S) / Mint Condition / 265A13708R

$97.20 $108.00
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Description

2022 Renault Trafic / Rear Tailgate light (R/S) / Mint Condition / 265A13708RMany of our parts can fit a wide range of vehicles! Not sure if this will fit your vehicle? Please contact us with your registration or vin number! Same day dispatch on orders before 1pm Mon Fri Product Description Delivery & Returns Payment Information Terms & Conditions Product Description This unit comes as a single complete unit without any additional seals, gaskets or fitting accessories. As a used part it has signs of wear and tear but is still


Many of our parts can fit a wide range of vehicles!
Not sure if this will fit your vehicle?

Please contact us with your registration or vin number!
🚗💨 🚗💨🚗💨

Same day dispatch on orders before 1pm Mon-Fri 🚚

Product Description

This unit comes as a single complete unit without any additional seals, gaskets or fitting accessories. As a used part it has signs of wear and tear but is still 100% fully functional, as such this unit is supplied with eBay's 30-Day Money Back Guarantee.

Please view the photos and part numbers carefully prior to purchase.

If you have any concerns or wish to know more about this item, please contact us.

Tel: 01246 231 500

Environment Agency Permit Number(s) YP3192ZY/A001 & NE/3179/002

For an extended version of our terms and conditions relating to postage, warranty periods and returns please visit the "About" Section of our DragonAutoPartsUK Store.

- DragonAutoPartsUK Team

UK Mainland and International Postage

  1. Flexible Shipping Options: You can choose from a range of shipping options subject to the size and weight of your order, you can even opt for a priority morning delivery if needed!

  2. Reliable Couriers: DragonAutoPartsUK uses reputable courier services such as DPD and UPS, ensuring that your order is delivered on time and in good condition.

  3. Clear Shipping Information: You will receive regular updates your order's shipping status, including carrier information, tracking and expected delivery times through SMS and email!

  4. No Hidden Costs: All orders include VAT and postage is calculated accurately based on your location and order specifics. This ensures that there are no hidden costs when you place an order with us.

  5. Customer Support: You can reach out to us anytime! You can ask for assistance with any concerns you may have about a part or order and we will make every effort to help you, even if it requires altering the destination after shipping! (Charges Apply)
Returns
  1. Personalized Assistance: When you start a return, we advise you to call us on 01246 231 500 to speak with one of our representatives. We can help you determine if you're eligible for a return and offer advice on how to proceed.

  2. Photo Evidence: If your order arrived in a damaged condition, we require photographic evidence to prove the state in which it arrived. This helps to speed up the return process and ensures that we can resolve the issue as quickly as possible.

  3. Convenient Collection: If your order was damaged outside of your control, we will arrange a collection on your behalf. We'll require you to verify a collection address to send our courier to, making the process as convenient as possible for you.

  4. Clear Communication: If the returned item is larger or more complex, such as an engine, gearbox, or other complex units, we'll send it to a third party for a full assessment and cause of failure. During this period, which lasts between two to four weeks, we'll keep you informed every step of the way and we'll always notify you of their findings.

  5. Secure Policy: We unfortunately do not accept international returns unless the buyer pays the return postage fees or the part is damaged on delivery, both of which require prior authorization before being returned to us. All products are discreetly security marked, so please do not try to send back a faulty replacement or wrong part that is not the exact unit you received from us.

    For an extended version of our terms and conditions relating to postage, warranty periods and returns please visit the "About" Section of our DragonAutoPartsUK Store.

Payment Information

After an accepted offer you must complete payment. We take non-paying bidders/offers very seriously and reserve the right to report any non-payment. If you wish to cancel your order after an offer has been agreed, please contact us.

Our preferred method of payment is PayPal we do however accept bank transfer, card and cash. Delivery to an alternative address can be arranged prior to dispatch, please contact us immediately after your purchase.

Terms and Conditions Summary

These terms and conditions are a shortened version of our full T&C's. For an extended version of our terms and conditions relating to postage, warranty periods and returns please visit the "About" Section of our DragonAutoPartsUK Store. All products are supplied with individual warranties, please refer to listing details or contact us for more information. Our warranties do not cover labour or incidental expenses arising from fault.

All products are supplied with individual warranties, please refer to listing details or contact us for more information. Our warranties do not cover labour or incidental expenses arising from fault. All used parts are sold in good working order with a minimum 30-day warranty. Always view the listing pictures carefully, if you have any queries regarding a listing or purchased product, please contact us prior to bidding / buying / returning. We pride ourselves on our customer service and in the rare event that you have a problem with your item we will always be happy to help. For the vast majority of cases, we will be able to resolve the dispute with a simple refund or exchange unit. All parts sold must be fitted in accordance with manufacturer specifications and the fitting process must be conducted at an approved VAT registered garage and performed by a fully qualified mechanic. DragonAutoPartsUK reserves the right to reject an application due to insufficient evidence or in the event of a misdiagnosis and incorrect fitting.

Thank you for shopping with DragonAutoPartsUK!

- DragonAutoPartsUK Team

Dedicated Support

We're here to help whenever you need us

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All stock held and dispatched from UK

A little about us...

The UK's most trusted used automotive parts partner. We provide high quality cost effective solutions for all of your automotive needs!

With best in class customer service, we help businesses and consumers to get the job done!

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 67047144076

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4.6 ★★★★★
Based on 19 reviews
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Product Reviews
S
Verified Purchase
Shannon
Carnegie, 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
Waukegan, 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
West Palm Beach, 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
Lowell, 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
Chelsea, 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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