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Aleppo Soap (3 Pack - 200 gr each) from Origin, Natural,%20 Laurel Oil,%80 Olive Oil, Traditional ProductionFeatures Aleppo soap is considered one of the purest soaps ever made, created exclusively with the most natural ingredients. It is made of olive oil, laurel bay oil, sodium hydroxide and water. Helps to eliminate the excess of sebum. It does not dry out skin. Moisturizes and nourishes skin. Made from 100% natural ingredients. No preservatives or other chemicals. Authentic Aleppo soap. For all types of skin, for people with eczema, acne and other
Features
- Aleppo soap is considered one of the purest soaps ever made, created exclusively with the most natural ingredients. It is made of olive oil, laurel bay oil, sodium hydroxide and water.
- Helps to eliminate the excess of sebum. It does not dry out skin. Moisturizes and nourishes skin.
- Made from 100% natural ingredients. No preservatives or other chemicals.
- Authentic Aleppo soap.
- For all types of skin, for people with eczema, acne and other problematic skin.
Product Description
Product description ► ALEPPO SOAP, NATURALLY PERFECT! Traditional Aleppo soap is made with natural virgin olive oil, laurel berry oil, water and lye. Aleppo soap is an effective cleanser, antibiotic, anti-fungal and anti-itching agent and also helps to treat skin conditions like eczema, dermatitis, and acne because of the laurel oil. ► BIGGER and LONGER-LASTING 200 gr - 3 Pack- , Our natural soap bars last much longer. ► IMPORTANCE of %20 LAUREL OIL PERCENTAGE The percentage of laurel oil is important to take advantage of the its benefits. That is why we offer you the %20 real percentage of laurel oil in our soaps. Beside this, the olive oil acts as a moisturizer to your skin. Our soap helps to calm inflammation, irritation and redness. ► WE DO LIKE NON-CHEMICAL PRODUCTS AS YOU DO If you are sick of using chemical products for daily hygiene like us, this is what you need for your health! Green Gold from its origin! ► PRODUCT DETAILS - All-Natural Handmade - Fragrance-Free - Generous Size: 200 gr - 3 Pack - ►HOW TO USE To make your hand-crafted soap lasts a long time, keep it dry between uses with a draining soap dish. It is recommended to do a patch test on a small portion of your skin for compatibility prior to using any new product. Click "Add to Cart" Now and Ready to Enjoy! Ingredients Olive Oil, Laurel Oil, Water, SodaShipping Notes
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4.7 ★★★★★
Based on 11 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
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