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Description
Cable Techniques Low-Profile, 3-Pin XLR Female to 3-Pin XLR Male Adjustable-Angle Cable (Blue Caps, 10")Blue Cap for Easy Distinguishing Lightweight at 1. 5 oz Crush and Tear Resistant Cable User Adjustable Angle: 30 to 150 Release Angle: 210 to 330 Durable 3. 2mm Cable Jacket Diameter For Sound Devices, Zaxcom, Zoom, and More With its distinguishing blue cap color, the Low Profile, 3 Pin XLR Female to 3 Pin XLR Male Cable from Cable Techniques is a 10" XLR cable with an angle adjustable, cable outlet orientation. You can adjust the cable outlet from 30
- Blue Cap for Easy Distinguishing
- Lightweight at 1.5 oz
- Crush- and Tear-Resistant Cable
- User-Adjustable Angle: 30 to 150�
- Release Angle: 210 to 330�
- Durable 3.2mm Cable-Jacket Diameter
- For Sound Devices, Zaxcom, Zoom, and More
With its distinguishing blue cap color, the Low-Profile, 3-Pin XLR Female to 3-Pin XLR Male Cable from Cable Techniques is a 10" XLR cable with an angle-adjustable, cable-outlet orientation. You can adjust the cable outlet from 30 to 150�, as well as the release-button angle from 210 to 330�, to better suit whichever device you're hooking into, be it a Sound Devices�unit (the 633, 688, 788T, 302, and 552, for example), a Zaxcom device, a piece of Zoom gear, or other such location-audio kits. Lightweight at 1.5 oz, the cable has been built to promote minimal intrusion and preserve durability with its rugged, 3.2mm cable-jacket diameter and crush- and tear-resistant cable material.�
In the Box
Cable Techniques Low-Profile, 3-Pin XLR Female to 3-Pin XLR Male Adjustable-Angle Cable (Blue Caps, 10")
- Limited 1-Year Warranty
| Connections | 1 x 3-pin XLR male 1 x 3-pin XLR female |
| Angle Adjustment Range | 30 to 150�, and 210 to 330� |
| Shield | Braided |
| Cable Length | 10" (25.4 cm) |
| Cable Jacket Type | 0.1" / 3.2 mm diameter |
| Weight | 1.5 oz (42.5 g) |
| Packaging Info | |
|---|---|
| Package Weight | 0.15 lb |
| Box Dimensions (LxWxH) | 6.3 x 5.0 x 0.2" |
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4.6 ★★★★★
Based on 24 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected.
The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading.
If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026