SKU: 71595242637

DACIA BIGSTER | 2025 | DOG TRAVEL CRATE

Sale price$261.00 Regular price$290.00
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Description

DACIA BIGSTER | 2025 | DOG TRAVEL CRATEAbout The Dacia Bigster Dog Box You won't have to give up boot space when your dogs aren't travelling with you because the box is made of a lightweight, incredibly durable plastic that is easy to lift into and out of your car. The box is extremely safe for transporting your dog because of the plastic's anti shatter properties and durability; it has also undergone independent crash testing. You can feel secure when taking your dogs on a wet day or for

About The Dacia Bigster Dog Box

You won't have to give up boot space when your dogs aren't travelling with you because the box is made of a lightweight, incredibly durable plastic that is easy to lift into and out of your car. The box is extremely safe for transporting your dog because of the plastic's anti-shatter properties and durability; it has also undergone independent crash testing.

You can feel secure when taking your dogs on a wet day or for a swim because the plastic construction is leakproof and ensures that no moisture from your dogs seeps into your vehicle. By doing this, you can protect your interiors and make sure that your dogs' waste or bodily fluids don't get on the carpets inside your boot.

The top of this model has a tray that can hold leads and all of your dog's travel accessories. Two drainage plugs are included to make cleaning the box simple. 

Features
  • Independently crash tested
  • Lightweight durable anti-shatter frame
  • Comfortable and safe for transporting your dog
  • Lockable stainless steel door as standard
  • Removable centre divider
  • Top storage tray
  • Two drainage plugs
  • Easily cleaned
  • Sealed leak-proof bottom protects your boots carpet
  • Side vent holes
  • Ergonomically designed easy lift handles
Specifications

Height: 700mm

Width: 900mm/660mm/500mm

Depth: 900mm

Dog Size

500mm Wide:

660mm Wide:

900mm Wide with divider:

900mm Wide with divider removed:

Contact Us

If you have any further queries you can contact us here. 

Size Guide

Shipping Notes
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
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SKU: 71595242637

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R. Cote
Natrona Heights, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Fort Morgan, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Bozeman, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Waukegan, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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3rd Act
Charlottesville, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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