SKU: 45449948351

ORGAHUE EG Fit Pore Mask (5EA)

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Description

ORGAHUE EG Fit Pore Mask (5EA)Pore tightening. Cooling care. Instant smooth skin. A high performance sheet mask refreshes ad revitalises tired skin while ensuring a comfortable fit. It provides cooling sensation and leaves the skin hydrated with a healthy looking glow Why your skin needs it? Heat and sebum enlarge pores. This mask helps cool, refine, and improve overall skin appearance. Key Benefits Helps tighten and refine pores Provides instant cooling effect Improves skin

Pore tightening. Cooling care. Instant smooth skin.

A high-performance sheet mask refreshes ad revitalises tired skin while ensuring a comfortable fit. It provides cooling sensation and leaves the skin hydrated with a healthy-looking glow 

Why your skin needs it?

Heat and sebum enlarge pores. This mask helps cool, refine, and improve overall skin appearance.

Key Benefits

- Helps tighten and refine pores
- Provides instant cooling effect
- Improves skin texture and radiance
- High-adhesion sheet for better delivery

Texture & Feel

Essence-rich sheet mask with a cooling, refreshing finish.

Best for

- Enlarged pores
- All skin type but especially good for Oily skin
- Pre-makeup prep

Size : 1 BOX (38g*5 ea)

       

      HOW TO USE 

      1. After cleansing and toning, apply mask and smooth gently to adhere. Leave on for 20–40 minutes. (You can leave it 3-4 hours if you prefer - when the colour of the sheet becomes transparent, take it off)

      2. Remove the sheet and pat remaining essence into skin. Use 2–3 times per week.

      3. Tip : Use it as sleeping pack. At the last step of skincare routine, apply mask on the face and leave it over a night for deep hydration. 

      We recommend doing a patch test on a wrist or behind the ear before using any new product.

       

      INGREDIENTS

      Water, Glycerin, Methylpropanediol, Cetyl Ethylhexanoate, Niacinamide, 1,2-Hexanediol, Diglycerin, Ceratonia Siliqua (Carob) Gum, Chondrus Crispus, Erythritol, Chondrus Crispus Extract, Ethylhexyl Olivate, Cellulose Gum, Butyrospermum Parkii (Shea) Butter, Xanthan Gum, Potassium Chloride, Sodium Acrylates Copolymer, Glyceryl Stearate, Polyglyceryl-4 Oleate, Sucrose, Ethylhexylglycerin, Butylene Glycol, Adenosine, Disodium EDTA, Cyanocobalamin, Arginine, Hippophae Rhamnoides Water, Litchi Chinensis Fruit Extract, Kummerowia Striata Extract, Cinchona Pubescens Bark Extract, Beta Vulgaris (Beet) Root Extract, Brassica Oleracea Capitata (Cabbage) Leaf Extract, Persea Gratissima (Avocado) Fruit Extract, Leptospermum Scoparium Leaf Extract, Acetyl Glucosamine, Cynanchum Atratum Extract, Tocopherol, Inonotus Obliquus (Mushroom) Extract, Caprylyl Glycol, Punica Granatum Fruit Extract, Brassica Oleracea Acephala Leaf Extract, Acetyl Hexapeptide-8, Copper Tripeptide-1, Hippophae Rhamnoides Oil, Gluconolactone, Palmitoyl Pentapeptide-4, Nicotinoyl Tripeptide-1, Tripeptide-1, Palmitoyl Tripeptide-1, sh-Decapeptide-7, sh-Octapeptide-4, Hexapeptide-9, Inositol, Folic Acid, Biotin, Sodium Ascorbyl Phosphate, Riboflavin, Thiamine HCl, Linoleic Acid, Nonapeptide-1, Panthenol, Pyridoxine HCl, rh-Oligopeptide-1, rh-Oligopeptide-2, rh-Polypeptide-1, rh-Polypeptide-22, rh-Polypeptide-3

      Ingredients are subject to change at the manufacturer's discretion. For the most complete and up-to-date list of ingredients, refer to the product packaging.

       

      Shipping Notes
      • Free Standard Shipping on $100+ Orders to the USA.
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      Exchange/Return Notes
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      SKU: 45449948351

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      4.4 ★★★★★
      Based on 15 reviews
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      Verified Purchase
      Shannon
      Houston, 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
      Belleville, 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
      Bozeman, 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
      Pawtucket, 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
      Lowell, 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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