SKU: 21338228717

CENTELLIAN24 Lifting Peptide Cream 65ml

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Description

CENTELLIAN24 Lifting Peptide Cream 65mlCENTELLIAN24 is a "medical grade skincare" brand under South Koreas Dongguk Pharmaceutical, focusing on "Centella Asiatica + high active anti aging ingredients" as core technology and advocating the concept of "gentle and effective" anti aging. This Lifting Peptide Cream (65ml) is a star product in its anti aging line, focusing on three effects: "compound peptide anti aging + Centella Asiatica repair + multi moisturizing". Targeting three major pain

  •  CENTELLIAN24 is a "medical-grade skincare" brand under South Korea’s Dongguk Pharmaceutical, focusing on "Centella Asiatica + high-active anti-aging ingredients" as core technology and advocating the concept of "gentle and effective" anti-aging. This Lifting Peptide Cream (65ml) is a star product in its anti-aging line, focusing on three effects: "compound peptide anti-aging + Centella Asiatica repair + multi-moisturizing". Targeting three major pain points of early aging skin—sagging, fine lines, and dryness—it adopts a smooth cream texture, balancing "high nutrition" and "easy absorption" user experience. The 65ml large-capacity design is suitable for long-term use, making it a cost-effective anti-aging cream "suitable for all skin types".
The product’s core advantages focus on "ingredients, efficacy, and user experience":
  1. Compound Peptide Formula for Precise Anti-aging: Adopts triple peptide compound of "Acetyl Hexapeptide-8 + Palmitoyl Pentapeptide-4 + Copper Tripeptide-1"—Acetyl Hexapeptide-8 (botulinum-like peptide) inhibits neurotransmitter release to reduce dynamic wrinkles; Palmitoyl Pentapeptide-4 stimulates fibroblast activity to promote collagen synthesis, improving static wrinkles and sagging; Copper Tripeptide-1 (blue copper peptide) repairs damaged skin and enhances skin elasticity. The three peptides work synergistically to cover the full anti-aging chain of "prevention - improvement - repair".
  2. Centella Asiatica + Moisturizing Ingredients for Repair and Maintenance: Adds the brand’s iconic 5000ppm high-concentration Centella Asiatica Extract, containing active substances such as asiaticoside and madecassoside, which soothes skin redness and inflammation, and repairs damaged barriers; paired with multiple moisturizing ingredients such as Hyaluronic Acid (macromolecular + small-molecular) and Glycerin, it locks moisture on the surface and hydrates deeply, avoiding the common "dry and tight" problem of anti-aging products, and can maintain skin moisture and elasticity with long-term use.
  3. Smooth Texture + Large Capacity for Wide Scenario Adaptation: The texture is smooth cream-like, easy to spread and absorb after application, with no stickiness (non-comedogenic for oily skin, sufficiently moisturizing for dry skin); the 65ml large-capacity design has higher cost-effectiveness than similar small-capacity creams, suitable for long-term use as day and night cream; the packaging adopts a press pump design, which is hygienic and convenient, allowing precise control of dosage and avoiding ingredient oxidation and deterioration.
As a medical-grade anti-aging cream, its core highlights are "gentle anti-aging + all-skin-type adaptation". It has passed South Korea’s KFDA certification for firming and anti-wrinkle effects, and has long been among the top-selling anti-aging creams in South Korean drugstores (such as Olive Young), suitable for users who value ingredient safety and long-term anti-aging effects.
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SKU: 21338228717

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Adam
San Leandro, 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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Amazon Customer
Natrona Heights, 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
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mackster
Lake Worth, 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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Stergios Papadimitriou
Belleville, 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.
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Reviewed in the United States on August 25, 2018
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Sabrina
Fort Morgan, 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.
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Reviewed in the United States on May 23, 2026

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