SKU: 76606957791

Aussies Market Indoor Outdoor Basketball Hoop with 5-10 FT Adjustable Height

Sale price$152.95 Regular price$169.95
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Description

Aussies Market Indoor Outdoor Basketball Hoop with 5-10 FT Adjustable HeightEnjoy basketball fun with this indoor outdoor basketball hoop system! This portable basketball hoop features 10 adjustable heights to meet the needs of the whole family and your growing kids. The backboard and rim are made of high strength material for prolonged service life. Plus, the painted metal tubes are rustproof and capable of outdoor use. For better stability and safety, you can add sand or water to the base and place the weight bag filled

Enjoy basketball fun with this indoor/outdoor basketball hoop system!

This portable basketball hoop features 10 adjustable heights to meet the needs of the whole family and your growing kids. The backboard and rim are made of high-strength material for prolonged service life. Plus, the painted metal tubes are rustproof and capable of outdoor use. For better stability and safety, you can add sand or water to the base and place the weight bag filled with sand on the base. Thanks to the built-in wheels, this basketball goal system is easy to move around.

Bullet Point

Fast & Wide Height Adjustment: Users can install 2 tubes or 3 tubes to get their desired height. This outdoor basketball hoop system provides 10 adjustable heights from 5 ft to 10 ft for basketball in all age stages, and the height is quick to adjust in seconds. Note: measure the height from floor to rim.

High Strength Backboard & Rim: The transparent backboard is made of premium PE and PET material, and it is impact resistant and shatterproof. And the rounded edge is designed for anti-collision. With high-quality material, you can buy this basketball goal system with confidence. Note: not suitable for dunking.

Sturdy & Stable Base: The enlarged base can be filled up to 35 L water, 39 kg sand or 47 kg sand +water, which ensures a more stable centre of gravity. Also, a free-weight bag (without filling) is included in the package, which can hold up to 35 kg of sand. And the triangular structure strengthens the connection between the base and the main pole.

Portable & Considerate Design: The base is designed with built-in wheels to provide easy mobility, and the basketball holder on it offers convenient storage during half-time. In addition, the off-prevent hooks on the rim avoid the net from falling off when playing basketball.

All-Weather Basketball Hoop System: The package includes a weather-resistant net that is capable of long-time service in all conditions. And the metal tubes finished with paint surface are rustproof and feature better durability for both indoor and outdoor use, suitable for playgrounds, gyms, backyards, etc.

Features:

Can be adjusted in 10 heights to fit users of different heights

The height adjustable system is equipped with 5 adjustable holes and safety latch fixation

Built with rustproof metal tubes for long-lasting indoor and outdoor use

Comes with a net and a free-weight bag

Impact-resistant and shatterproof backboard for safety and durability

A stable base can be filled with water or sand for more security

Easy to move around with built-in wheels

Hassle-free to assemble with detailed instruction

Specifications:

Colour: Black

Material: Metal, PE, PET

Adjustable Total Height:

Remove the Middle Tube: 1.55-2.35 m/5-7.7 ft

Install the Middle Tube: 2.28 -3.1m/7.5-10 ft

Adjustable Rim Height:

Remove the Middle Tube: 1.05-1.85 m/3.5-6 ft

Install the Middle Tube: 1.78-2.6m/5.8-8.5 ft

Backboard Dimensions: 82 cm x 58 cm (L x W)

Base Dimensions: 77 cm x 54 cm x 13 cm (L x W x H)

Weight Bag Dimensions: 50 cm x 25 cm x 30 cm (L x W x H)

Inner Diameter of Basketball Rim: 38 cm

Diameter of Transport Wheel: 9 cm

Added Weight: 35 L Water or 39 kg Sand

Added Weight of Weight Bag: 35 kg Sand

Net Weight: 16 kg

Package Includes:

1 x Portable Basketball Hoop

1 x Weight Bag

1 x Instruction

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SKU: 76606957791

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4.0 ★★★★★
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Shannon
Charlottesville, 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!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Fort Morgan, 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
Natrona Heights, 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
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Amazon Customer
Chelsea, 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
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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.
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Reviewed in the United States on May 15, 2018

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