SKU: 84731074658

EPIC - SCYLLA FLUORESCENT THIN TENTACLE DILDO LARGE SIZE

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Description

EPIC - SCYLLA FLUORESCENT THIN TENTACLE DILDO LARGE SIZEExplore new depths of pleasure with Scylla, the silicone dildo from the EPIC CYBERSILICOCK brand inspired by Greek mythology! With striking colors that evoke the majesty of the gods, this toy will take you away. on an unparalleled erotic journey. Features: 15 mm tip for precise and delicate stimulation. Medium with a diameter of 40 mm for a sensation of gradual fullness. Thickening to 60 mm for intensified pleasure. Section before the base with a

Explore new depths of pleasure with Scylla, the silicone dildo from the EPIC CYBERSILICOCK brand inspired by Greek mythology! With striking colors that evoke the majesty of the gods, this toy will take you away. on an unparalleled erotic journey.

 

Features:

  • 15 mm tip for precise and delicate stimulation.
  • Medium with a diameter of 40 mm for a sensation of gradual fullness.
  • Thickening to 60 mm for intensified pleasure.
  • Section before the base with a diameter of 40 mm for a smooth transition.
  • 67mm base for secure and stable insertion.
  • Introducable length of 300 mm and total length of 315 mm for a satisfactory experience.
  • 450g weight provides a balanced and comfortable feel during use.

Discover mythological ecstasy with Scylla from EPIC CYBERSILICOCK!

 

 

EPIC CYBERSILICOCK

Welcome to the universe of EPIC CYBERSILICOCK, where passion meets innovation and Greek mythology comes to life in a way never seen before. We are more than just a sex toy brand; We are the epitome of modern pleasure, fusing exceptional craftsmanship with unbridled imagination.

Immerse yourself in a world of divine desire with our silicone masturbators and dildos that will transport you to the epic stories of ancient Greece. Each EPIC CYBERSILICOCK product is Meticulously designed to offer a unique sensory experience, using the most advanced silicone technology to ensure an unparalleled feeling of softness and realism.

Our collection is inspired by the myths and legends of Greek mythology, where gods and mythical creatures come to life in strange and shocking forms. Our designs challenge the conventions of conventional pleasure and invite you to explore new horizons of ecstasy.

But innovation doesn't stop there. Some of our products have advanced features, such as remote control, that allow you to customize your pleasure experience with the ease of one touch. Imagine controlling the intensity and rhythm of your sensations with the push of a button, surrendering to pleasure with the skill of a god.

And, of course, aesthetics are equally important to us. Our products are available in a variety of bold colors that awaken your senses, from the golden glow of the sun to the mysterious blue of the Aegean Sea. And our shapes are as striking as the stories of Greek mythology, with sensual curves and bold contours that invite you to explore your wildest fantasies.

Get ready for an epic experience like no other. Join us on the journey to ultimate pleasure with EPIC CYBERSILICOCK, where Greek mythology meets modern technology to create a world of infinite desire. Are you ready to enter the realm of the gods of pleasure?

Shipping Notes
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Exchange/Return Notes
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SKU: 84731074658

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4.3 ★★★★★
Based on 29 reviews
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Shannon
Phoenix, 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
Bozeman, 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
Grantham, 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.
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Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Lake Worth, 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
Alexandria, 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.
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Reviewed in the United States on May 15, 2018

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