SKU: 62923265235

OLG Agile Sit/Stand Home Office Bundle - 1500 x 750 Height Adjustable Desk + Chair + Credenza

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Description

OLG Agile Sit/Stand Home Office Bundle - 1500 x 750 Height Adjustable Desk + Chair + CredenzaOLG Agile Sit Stand Home Office Bundle Height Adjustable Desk + Chair + Credenza (Free Shipping To Metro Areas) Check if you're eligible for free shipping here. Enjoy the health benefits of a sit to stand desk and ergonomic chair with the OLG Agile Sit Stand Home Office Bundle. Working from home can be done in style with this bundle. We've out together our most popular items; OLG Agile Height Adjustable Desk, OLG Balance Executive Chair and the OLG

OLG Agile Sit/Stand Home Office Bundle - Height Adjustable Desk + Chair + Credenza (Free Shipping To Metro Areas)

Check if you're eligible for free shipping here.

 

Enjoy the health benefits of a sit to stand desk and ergonomic chair with the OLG Agile Sit/Stand Home Office Bundle. Working from home can be done in style with this bundle. We've out together our most popular items; OLG Agile Height Adjustable Desk, OLG Balance Executive Chair and the OLG Axis Credenza. 

 

OLG Agile Height Adjustable Desk - 2 Column 1500 x 750mm

The Agile’s electric motors takes all the hard work out for you, transforming your desk to a standing work station! Simply, by the push of a button, you can change the height of your desk and work away in a position that pleases you most. Store your 4 favoured heights with the LCD readout control. Proudly BIFMA certified. Arrives flat-packed ready to be assembled.

OLG Agile Height Adjustable Desk Features:

  • Electric 2 column speed 22mm/s
  • Powder-coat finish frame in black or white
  • Height range of 680-1160mm (including 25mm thick worktop)
  • 25mm E1 grade substrate melamine worktop in either White or New Oak
  • Matching 2mm ABS edge
  • 90mm x 60mm legs with flat foot design 
  • Arrives flat packed and simple to assemble (please note worktop does not have pre-set drill holes)
  • Warranty - 12 years
  • Weight rating - 100kg

OLG Balance Executive Chair 

The Balance Executive Mesh Back Chair strikes the optimum balance between beautiful contemporary design and functionality. The suspended mesh back provides a breathable seat that cradles your body to provide the ultimate comfort whilst helping you maintain a healthy ergonomic posture.

  • Multi adjustable arms - up/down, fore/aft and side/side
  • Sliding seat adjustment to vary depth
  • Custom tilt
  • Solid cast aluminium mechanism
  • Pneumatic height adjustment
  • Removable armrests
  • Black mesh back and black eurotek PU seat
  • AFRDI tested and certified
  • Weight rating: 140kg
  • Warranty: 10 years
  • Measurements:
    • Seat height: 445-545mm
    • Seat width: 483mm
    • Seat depth: 483mm
    • Overall height: 990-1090mm

OLG Axis Credenza 1200

A simple, modern storage unit with plenty of space.  It comes with an adjustable shelf, tailored to your storage needs, giving the credenza two levels of storage.  

  • 900 mm high x 1200 mm wide x 400 mm deep
  • 1 x 18mm adjustable shelves with two lockable hinge doors
  • Studio white finish
  • Arctic white powdercoated feet with leveling glides
  • 25mm tops and base and 18mm sides and shelves
  • Flush-joined construction
  • Arrives flat-packed ready to assemble (experience recommended)
  • Warranty: 10 years
    Shipping Notes
    • Free Standard Shipping on $100+ Orders to the USA.
    • Except Preorder products are shipped in 48 hours.
    • Delivery to the USA:
    1. Standard Shipping : 3-10 business days
    • If time is of the essence, please consider selecting expedited delivery for faster service.
    Exchange/Return Notes
    • We offer a 30-day return/exchange service after receiving.
    • Final sale items are not eligible for returns or exchanges.
    • To process your return/exchange, please contact us at [email protected]
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    SKU: 62923265235

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    4.5 ★★★★★
    Based on 6 reviews
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    S
    Verified Purchase
    Shannon
    Lowell, 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
    Lowell, 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
    Cuba, 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
    Massapequa, 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
    Houston, 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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