SKU: 16627919561

Red Bull Sugar-Free Energy Drink (12 fl. oz., 24 pk.)

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Description

Red Bull Sugar-Free Energy Drink (12 fl. oz., 24 pk.)HIGHLIGHTS: Sugar free energy drink Same great taste as comparable Red Bull Energy Drinks Made to increase concentration, energy and endurance PRODUCT DETAILS: Red Bull Sugar Free Energy Drink (12 oz., 24 pack) provides you with the perfect pick me up whether you're at home, in the office, or exploring the world! Packed with caffeine, taurine and B vitamins, this Red Bull option has no sugar and is only 10 calories. Why Does Red Bull Make You

HIGHLIGHTS:

  • Sugar-free energy drink
  • Same great taste as comparable Red Bull Energy Drinks
  • Made to increase concentration, energy and endurance

PRODUCT DETAILS:

Red Bull® Sugar-Free Energy Drink (12 oz., 24 pack) provides you with the perfect pick-me-up whether you're at home, in the office, or exploring the world! Packed with caffeine, taurine and B-vitamins, this Red Bull option has no sugar and is only 10 calories.

Why Does Red Bull Make You Energetic?

Red Bull Sugar-Free Energy Drinks are packed with ingredients designed to increase your concentration, energy and endurance. Like coffee, Red Bull no sugar energy drinks contain caffeine. Known for its stimulating effects and use since ancient times, caffeine is a natural source for energy. Red Bull sugar-free drinks also contain B-group vitamins necessary for maintaining normal body functions.

How Does Red Bull Compare To Other Energy Drinks?

Red Bull has topped the charts for flavor and impact in the sugar-free energy drinks industry. Red Bull nutrition and science research consistently seeks to bring you the best energy source on the market. Red Bull Sugar-Free Energy Drinks are carbonated, energy-packed beverages that provide great taste and high-power effect for just 10 calories per 12-ounce can.

SPECIFICATIONS:

Made with high-quality ingredients such as caffeine, taurine, B-Group vitamins, sucrose & glucose, water

24 Red Bull Sugar-free energy drink cans, 12 fl. oz. (355 mL) per can

100%-recyclable can

Caffeine content: 114 mg/12 fl oz.

Individually marked for resale

Vendible

GRP:SMS

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SKU: 16627919561

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4.7 ★★★★★
Based on 11 reviews
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Product Reviews
A
Verified Purchase
Adam
Cuba, 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
Fort Morgan, 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
Whiting, 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
Houston, 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
Draper, 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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