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Description
Soap Mould, Soap Cutter for soap Making, Soap Making Supplies, Soap molds for soap Making with Needle-Nose Pliers + 3 Spare WiresFeatures ?Wood Molds Tool for Soap MakingIncludes 1 x Bamboo soap cutting table, 1 x steel wire knife, 3 x spare wires, 1 x needle nose pliers. Size: 24. 8*12*3. 4cm, Weight: 600g, Cutable range: 9. 1cm. Note: 1. This soap cutter uses a string knife, which is only suitable for cutting soft soap that has just been demolded. It cannot be cut too hard, otherwise it will easily break. The string knife is cut with steel wire. The steel wire can be
Features
- ?【Wood Molds Tool for Soap Making】Includes 1 x Bamboo soap cutting table, 1 x steel wire knife, 3 x spare wires, 1 x needle-nose pliers.Size:24.8*12*3.4cm, Weight:600g, Cutable range:9.1cm. Note: 1. This soap cutter uses a string knife, which is only suitable for cutting soft soap that has just been demolded. It cannot be cut too hard, otherwise it will easily break. The string knife is cut with steel wire. The steel wire can be adjusted.
- ?【Easy to Cut and Clean】 The soap mold uses high-quality material, it is safe, reliable and durable. The surface is smooth, so easy to release the soap, cleaning is also convenient, can recycled. This soap making set is easy to make soap bar with smooth finish and cut with any size you want. It's also easy to clean and machine washable. The wire cutter can be detached and cleaned more convenient.
- ?【Wide Usage】This soap making set are easy to cut with smooth finish, gives a better look for your DIY soap work. It can also be used to make handmade soaps, cakes, bread, chocolate, jelly,muffin, conditioning food and so on.
- ?【Soap Loaf Cutter Mold】High quality Material: Stainless Steel and Bamboo，Every place is meticulously crafted by carpenters and crafted. It is colorless, odorless, corrosion-resistant and not easily deformed. The bamboo joints are clearly visible and the quality is visible.
- ?【Our Services】ATB-GIFT is a young, energetic and passionate brand, and also attaches great importance to your shopping experience, Give you 100% quality and satisfaction guarantee. If for any reason you're not 100% SATISFIED, Please contact us here first, We will serve you one to one at the first time. Our customer team will help you RETURN OR REFUND.
Product Description
If you don't know how to install, please contact us for an installation video 【Make A Meaningful Gift】 Everyone has their own favorite smell or their own lucky smell. Make your own unique soap to your liking. It's a happy thing to make exclusive soaps with your family on a leisurely weekend. Suitable for soap making, loaf cutting, pastries cutting, etc. The operation is simple and convenient, so beginners can get quickly. Soap cutters are ideal for daily gifts. 【Feature】 1. This multifunctional soap cutter has slicing machine, so you can use it to cut soap directly. 2. There are scales on it, which can help you cut 0.55cm thick soap. 3. The product has fine workmanship and slick surface, convenient for operation. 4. A very useful tool for soap making, it can also be used to cut candles, cakes, ice, chocolate, etc. 5. Made of high‑quality bamboo wood, safe and eco‑friendly, firm and durable. 【Package List】 1 x Bamboo soap cutting table 1 x steel wire knife 3 x spare wires 1 x needle-nose pliers Note: 1. This soap cutter uses a string knife, which is only suitable for cutting soft soap that has just been demolded. It cannot be cut too hard, otherwise it will easily break. 2. The string knife is cut with steel wire. The steel wire can be adjusted. If you have any questions, you can watch the installation video or consult us.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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- Standard Shipping : 3-10 business days
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4.1 ★★★★★
Based on 22 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