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Description
安綠雅 O1、O2、O3 臉部保養系列 Annluya O1、O2、O3 Facial CareO1(150ml) () XX O1 150 ml 6 AQUA, Butylene Glycol, Glycerol, Aloe Barbadensis Leaf Juice, Anthemis nobilis Flower Water, Rosa Damascena Flower Water, Saccharide Isomerate ,Citric Acid, Sodium Citrate, Olive Leaf Extract, Avena Sativa(Oat) Kernel Extract, Niacinamide, Sclerotium gum, Allantoin, Brassica Campestris (Rapeseed) Seed Oil* (and) Polygonum Tinctorium Leaf, Extract, Phenoxyethanol,Methylparaben, Propylparaben,2 bromo 2 nitropropane 1,3 diol,
→O1安綠雅舒潤保濕露(150ml)
此產品原為安綠雅 純淨喚膚水(凝露)
水潤凝露X潤澤舒緩X減緩泛紅
O1安綠雅舒潤保濕露
原產地：台灣製造
保存期限：三年，請於開封後6個月內使用完畢
適用對象：大部分膚質/敏感肌/乾性肌/孕婦哺乳
O1安綠雅舒潤保濕露
- 法國專利蓼藍萃取，幫助減緩肌膚泛紅，質地呈淡粉色凝露狀，另含橄欖多酚、燕麥仁等植萃成分，雙重保濕，同時幫助穩定肌膚。
原產地：台灣製造
保存期限：三年，請於開封後6個月內使用完畢
適用對象：大部分膚質/敏感肌/乾性肌/孕婦哺乳
全成分說明 ：
AQUA, Butylene Glycol, Glycerol, Aloe Barbadensis Leaf Juice, Anthemis nobilis Flower Water, Rosa Damascena Flower Water, Saccharide Isomerate ,Citric Acid, Sodium Citrate, Olive Leaf Extract, Avena Sativa(Oat) Kernel Extract, Niacinamide, Sclerotium gum, Allantoin, Brassica Campestris (Rapeseed) Seed Oil* (and) Polygonum Tinctorium Leaf, Extract, Phenoxyethanol,Methylparaben, Propylparaben,2-bromo-2-nitropropane-1,3-diol, PEG-40 Hydrogenated Castor & Trideceth-9, Ammonium Polyacryloyldimethyl Taurate, Fragrance
AQUA, Butylene Glycol, Glycerol, Aloe Barbadensis Leaf Juice, Anthemis nobilis Flower Water, Rosa Damascena Flower Water, Saccharide Isomerate ,Citric Acid, Sodium Citrate, Olive Leaf Extract, Avena Sativa(Oat) Kernel Extract, Niacinamide, Sclerotium gum, Allantoin, Brassica Campestris (Rapeseed) Seed Oil* (and) Polygonum Tinctorium Leaf, Extract, Phenoxyethanol,Methylparaben, Propylparaben,2-bromo-2-nitropropane-1,3-diol, PEG-40 Hydrogenated Castor & Trideceth-9, Ammonium Polyacryloyldimethyl Taurate, Fragrance
→O2安綠雅淨白精華露(30ml)
清爽保濕，喚活勻亮無暇肌！
水性精華X凈白透亮X均勻膚色
O2安綠雅淨白精華露
原產地：台灣製造
保存期限：三年，請於開封後6個月內使用完畢
適用對象：大部分膚質/敏感肌/乾性肌/孕婦哺乳
O2安綠雅淨白精華露
- 針對肌膚淨白透亮的美白功能型產品，以傳明酸等多種活性成分，有效抑制黑色素生成，改善暗沉及膚色不均，呈現勻亮無暇光澤肌。
原產地：台灣製造
保存期限：三年，請於開封後6個月內使用完畢
適用對象：大部分膚質/敏感肌/乾性肌/孕婦哺乳
全成分說明：
Aqua、Butylene Glycol、Glycerol、Methylsilanol Mannuronate、Xylitylglucoside - Anhydroxylitol – Xylitol、Ascorbyl Glucoside、Tranexamic Acid、Sclerotium gum、Hydrolyzed Opuntia Ficus-indica Flower Extract、Xanthan Gum、Citric Acid、Sodium Citrate、potassium hydroxide、Allantoin、Brassica Campestris (Rapeseed) Seed Oil* (and) Polygonum Tinctorium Leaf Extract、Phenoxyethanol,Methylparaben,Propylparaben, 2-bromo-2-nitropropane-1,3-diol PEG-40 Hydrogenated Castor & Trideceth-9、Fragrance
Aqua、Butylene Glycol、Glycerol、Methylsilanol Mannuronate、Xylitylglucoside - Anhydroxylitol – Xylitol、Ascorbyl Glucoside、Tranexamic Acid、Sclerotium gum、Hydrolyzed Opuntia Ficus-indica Flower Extract、Xanthan Gum、Citric Acid、Sodium Citrate、potassium hydroxide、Allantoin、Brassica Campestris (Rapeseed) Seed Oil* (and) Polygonum Tinctorium Leaf Extract、Phenoxyethanol,Methylparaben,Propylparaben, 2-bromo-2-nitropropane-1,3-diol PEG-40 Hydrogenated Castor & Trideceth-9、Fragrance
→O3傳奇喚膚精粹(36顆x0.35ml)
安綠雅經典植萃保養油類產品
以油養膚 X 活化肌膚 X 滋養調理
O3傳奇喚膚精粹
O3傳奇喚膚精粹
- 安綠雅第一項經典產品，蘊含植物性角鯊等豐富植萃精華，調理肌膚油水平衡，強化皮脂膜屏障修護，幫助維持肌膚健康。
容量：36顆 x 0.35ml
原產地：台灣製造
保存期限：三年，請於開封後6個月內使用完畢
適用對象：大部分膚質/敏感肌/乾性肌/孕婦哺乳
原產地：台灣製造
保存期限：三年，請於開封後6個月內使用完畢
適用對象：大部分膚質/敏感肌/乾性肌/孕婦哺乳
全成分說明 :
Dimethicone, Ethylhexyl Olivate, SQUALENE, Rosa rubiginosa seed Oil, Helianthus annuus Seed Oil (and) Epilobium angustifolium Flower/Leaf/Stem Extract, Chamomilla Recutita Flower Extract
8. Echium plantigineum Seed Oil, Brassica campestris Seed Oil (and) Glycyrrhiza glabra Root Extract (and) Polyglyceryl-3 Diisostearate (and) Althaea Officinalis Root Extract (and) Oryza sativa Bran Extract, 9GF(Epidermal Growth Factor(EGF), Keratinocyte GrowthFactor(KGF), a-Fibroblast Growth Factor(a- FGF), Insulin- like Growth Factor(IGF-1), Acidic Fibroblast Growth Factor(FGF- 1) , Human Oligopeptide-1, Platelet-derived growth factor(PDGF), GHK-Cu, Oligo Peptide
Dimethicone, Ethylhexyl Olivate, SQUALENE, Rosa rubiginosa seed Oil, Helianthus annuus Seed Oil (and) Epilobium angustifolium Flower/Leaf/Stem Extract, Chamomilla Recutita Flower Extract
8. Echium plantigineum Seed Oil, Brassica campestris Seed Oil (and) Glycyrrhiza glabra Root Extract (and) Polyglyceryl-3 Diisostearate (and) Althaea Officinalis Root Extract (and) Oryza sativa Bran Extract, 9GF(Epidermal Growth Factor(EGF), Keratinocyte GrowthFactor(KGF), a-Fibroblast Growth Factor(a- FGF), Insulin- like Growth Factor(IGF-1), Acidic Fibroblast Growth Factor(FGF- 1) , Human Oligopeptide-1, Platelet-derived growth factor(PDGF), GHK-Cu, Oligo Peptide
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4.6 ★★★★★
Based on 17 reviews
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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!!
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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.
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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.
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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!!
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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.
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Reviewed in the United States on May 15, 2018