SKU: 88654254298

5Core Keyboard Stand Adjustable Height 34.5" Width 32.5” Z Style Electric Piano Riser 250Lb Capacity

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Description

5Core Keyboard Stand Adjustable Height 34.5" Width 32.5” Z Style Electric Piano Riser 250Lb CapacityAbout Item ADJUSTABLE HEIGHT KEYBOARD STAND Customize from 22. 5" to 34. 5" for comfortable playing position HEAVY DUTY 250LB CAPACITY Durable metal Z style design supports digital pianos and synthesizers UNIVERSAL WIDTH ADJUSTMENT Expands 19. 25" to 32. 5" to accommodate most keyboard brands securely ANTI SLIP PROTECTION Rubber feet and soft padding prevent sliding while protecting instruments QUICK SETUP COLLAPSIBLE FRAME Assembles in minutes with

About Item

ADJUSTABLE HEIGHT KEYBOARD STAND - Customize from 22.5" to 34.5" for comfortable playing position

HEAVY DUTY 250LB CAPACITY - Durable metal Z-style design supports digital pianos and synthesizers

UNIVERSAL WIDTH ADJUSTMENT - Expands 19.25" to 32.5" to accommodate most keyboard brands securely

ANTI-SLIP PROTECTION - Rubber feet and soft padding prevent sliding while protecting instruments

QUICK SETUP COLLAPSIBLE FRAME - Assembles in minutes with fold-flat design for easy transport



gt;Keyboard Stand Description

Experience stability and versatility with the 5 Core keyboard stand, designed for all digital pianos, MIDI keyboards, and music workstations. With adjustable height from 22.5” to 34.5” and width from 19.25” to 32.5”, it ensures a perfect playing position whether seated or standing. The sturdy metal frame supports up to 250 lb, while the rubber padding and wide base keep your instrument safe and steady. Easy to fold and carry, this portable music stand is ideal for home studios, classrooms, and stage use — the perfect choice for serious musicians.


Features

Dual-Locking Knobs

Wide Support Base

Secure Rubber Padding

Quick Folding Mechanism

Secure your ideal height and with dual-lock knobs that prevent accidental slipping — perfect for confident playing every time.

The wider base design ensures the stand stays balanced, even when holding large digital pianos or keyboard pianos.

Soft rubber padding prevents slipping and protects your digital piano or MIDI keyboard from scratches during performance or transport.

Fold and pack your piano stand within seconds. Lightweight yet strong, it’s perfect for musicians who travel or perform frequently.

  • Color - Black

  • Minimum Height - 22.5”

  • Maximum Height - 34.5”

  • Minimum Width - 19.25”

  • Maximum Width - 32.5”

  • Weight of the stand - 13.5 LB 

  • Weight Capacity -  250Lb

 

Package Includes:

  • 1x Keyboard Stand

  • 1x Headphone Holder

  • 2x Secure Strap



About Brand

5 Core, ISO Certified headquartered in California, warehouse in Ohio, USA. Offering 600+ products since 1984. Tested and Certified Products, ensuring highest quality and reliability.
Shipping Notes
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SKU: 88654254298

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4.7 ★★★★★
Based on 14 reviews
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Verified Purchase
Shannon
Dallas, 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
Carnegie, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Massapequa, 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
Battle Creek, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Charlottesville, 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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