SKU: 83938070103

Jock Dual Density Uncut Dildo

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Description

Jock Dual Density Uncut DildoTruly bring the fantasy to life with an unbelievably realistic look and feel! With a soft pink blush to the head, a hood that partially hides it, this uncut rod also has light blue veins and a lean but meaty shaft. Enjoy diving into roleplay and fantasy scenes with this hand painted beauty that looks and feels real! This dual density dong has a firm inner core and a squishy, soft outer layer that adds to the realism as you ride it. Made out of soft

Truly bring the fantasy to life with an unbelievably realistic look and feel! With a soft pink blush to the head, a hood that partially hides it, this uncut rod also has light blue veins and a lean but meaty shaft. Enjoy diving into roleplay and fantasy scenes with this hand-painted beauty that looks and feels real! This dual density dong has a firm inner core and a squishy, soft outer layer that adds to the realism as you ride it. Made out of soft and flexible premium quality silicone, it is phthalate-free and latex-free making it a body-safe option for your most intimate adventures! The wide base fits in most strapon harnesses and has a strong suction-cup base for hands-free riding, as well! Wash it after eerie use with warm water and mild soap, then rinse it and spray it with a toy cleaner. Keep out of direct sunlight and heat.

You want the fantasy to be real, so you get the dong you desire. As you run your fingers and hands over it, the fine details excite you. You slip it into your mouth, seeing how far it can go down your throat, then remove it, gagging with spit. Rubbing it against your body you feel your excitement growing. As you close your eyes, you press it against your opening, add some lube, and slide it in. It opens you up but doesn't force its way into you. The soft outer layer has some give as it adjusts to the tight squeeze of your body. You relax and it begins to feel easier, more open. You place the suction cup on a flat surface, this time choosing the clean floor, and you ride it, bouncing up and down as your hands wander, stroke, caress and feel your body as you ride.

Curve Toys is known for their proprietary formulas used to create the best dildos and adult toys in the world. They manufacture their adult replica products with only body-friendly, phthalate-free, and top-grade materials. All products are inspected for superior functionality so that they represent the value, quality, and innovation from the factory to the bedroom. Staffed by experts with over 60 cumulative years in the adult manufacturing industry, Curve Toys is the perfect combination of passion, creativity and experience; in short, we know pleasure.

Measurements:

Overall length: 8.5 inches.
Insertable length: 7.7 inches.
Widest insertable diameter: 2 inches.

Materials: Silicone

Color: Caramel

Note: Use only with water-based lubricants for best results.

Key Features:

  • Realistic Look and Feel: Light skin, an uncut head painted pink, and blue veins that pop out along the shaft. This realistic dong both looks and feels real so you can bring the fantasy to life!
  • Suction Cup Base: Press against any flat surface to ride it hands-free!
  • Dual Density Silicone: The outer layer is soft and flexible while the inner layer remains firm at the core. Made out of latex-free, phthalate-free, premium silicone.
  • Harness Compatible: Use with almost any strapon harness to enjoy with a partner!

 

 

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SKU: 83938070103

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4.5 ★★★★★
Based on 15 reviews
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Shannon
Chelsea, 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.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Whiting, 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
Waukegan, 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
M
Verified Purchase
mackster
Cuba, 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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