Pay in installments of $84.37 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 24 - Jul 29
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Chateau Lafite Rothschild 2021Een van de meest indrukwekkende wijnen ter wereld. Noem maar eens een mooiere wijn dan deze Chateau Lafite Rothschild. Een wijn welke al eeuwenlang de wijnwereld weet te bekommeren, gemaakt van de beste beschermde wijngaarden in de Bordeaux. Chateau Lafite Rothschild is een wijn van superlatieven, waarbij alles maar dan ook echt alles op het allerhoogste niveau zit. De Bordeaux wijnen van Rothschild Chateau Lafite Rothschild is een wijnhuis wat zijn
Een van de meest indrukwekkende wijnen ter wereld. Noem maar eens een mooiere wijn dan deze Chateau Lafite Rothschild. Een wijn welke al eeuwenlang de wijnwereld weet te bekommeren, gemaakt van de beste beschermde wijngaarden in de Bordeaux. Chateau Lafite Rothschild is een wijn van superlatieven, waarbij alles - maar dan ook echt alles - op het allerhoogste niveau zit.De Bordeaux wijnen van Rothschild
Chateau Lafite Rothschild is een wijnhuis wat zijn wortels tot diep in de 17e eeuw heeft. De oudste wijngaarden zijn namelijk in deze tijd aangeplant. Het domein is dankzij erfenis telkens weer in handen van andere eigenaren geweest. Vanaf 1868 is het continu eigendom geweest van de machtige familie Rothschild, toen James de Rothschild het domein kocht. De belangrijke familie Rothschild is een grote naam binnen de wijnen. Dankzij hun vakmanschap kan iedereen genieten van de toegankelijke kwaliteit van de wijnen. Wijn was namelijk vroeger enkel betaalbaar voor de adel. Dankzij de inspanningen van de familie Rothschild werden er ‘moderne’ technieken ontwikkeld waardoor wijn voor een groter publiek beschikbaar werd. Echter hebben zij deze unieke Chateau Lafite Rothschild altijd blijven produceren, waarmee de familie Rothschild haar vakmanschap maar weer eens bevestigd.Chateau Lafite Rothschild wijn kopen
Het domein ligt in de prachtige Pauillac, op de grens met Saint-Estephe. Hier vind je de mooiste wijngaarden, die vaak al eeuwen oud zijn . Het leeuwendeel is gereserveerd voor de Cabernet Sauvignon - typische voor de Pauillac. Ook in deze Chateau Lafite Rothschild is dat het geval. De wijn wordt aangevuld met Merlot, Cabernet Franc en Petit Verdot. Op deze manier zijn alle klassieke druivenrassen vertegenwoordigt in deze wijn. Bijzonderheid is dat de druiven handmatig geoogst worden en dat door middel van infrarood-camera’s wordt bepaald welke perceel op welke moment geoogst kan worden.Indrukken van Chateau Lafite Rothschild
Ga hier maar eens voor zitten: niet voor niets wordt dit beschouwd als de top van de wereld. Het pure vakmanschap, de zachte verfijning en de pure elegantie. Alles lijkt de kloppen aan dit meesterwijk. Het is een fijne neus van verse bramen; een geur die doorvloeit in de smaak. Op de tong een partij van cederhout en eikenhout; uiteraard met een intense smaak van cassis mede mogelijk gemaakt door het cassisfruit. IN de afdronk oogt Chateau Lafite Rothschild wat rokerig, wat hem subliem maakt: vanaf de eerste slok tot de allerlaatste druppel.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.7 ★★★★★
Based on 19 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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