SKU: 44597822862

Manta | Twin 2.5″ Full Exhaust System with Extractors Muffler Muffler | Ford Falcon FG XR8 5.4L V8 Sedan 2008–2010

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Description

Manta | Twin 2.5″ Full Exhaust System with Extractors Muffler Muffler | Ford Falcon FG XR8 5.4L V8 Sedan 2008–2010Performance Twin 2. 5 Full Exhaust System with Extractors Muffler Muffler Suits Ford Falcon FG XR8 5. 4L V8 Sedan (20082010) Upgrade your Falcon FG XR8 Sedan with this Twin 2. 5 Full Exhaust System from Manta. Crafted in durable aluminised steel and fitted with extractors, twin mufflers, it delivers enhanced exhaust flow, Quiet noise, and long term durability for Australian roads. Warranty Stainless Steel Systems 10 years Aluminised Systems 2 years

Performance Twin 2.5″ Full Exhaust System with Extractors Muffler Muffler – Suits Ford Falcon FG XR8 5.4L V8 Sedan (2008–2010)

Upgrade your Falcon FG XR8 Sedan with this Twin 2.5″ Full Exhaust System from Manta. Crafted in durable aluminised steel and fitted with extractors, twin mufflers, it delivers enhanced exhaust flow, Quiet noise, and long-term durability for Australian roads.

Warranty

Stainless Steel Systems – 10 years
Aluminised Systems – 2 years

Why Manta?

Manta is Australia’s leader in performance exhaust systems, engineered for maximum flow, fitment, and reliability in tough Australian conditions.

Key Features

  • Twin 2.5″ piping for efficient exhaust flow
  • Includes extractors and twin mufflers for refined sound
  • Durable aluminised steel construction
  • Direct fitment for FG XR8 V8 Sedan
  • Australian designed and manufactured

Technical Specifications

  • Brand: Manta
  • System Type: Full System
  • Material: Aluminised Steel
  • Pipe Size: Twin 2.5″
  • Noise Level: Quiet

Vehicle Fitment Information

Make Model Years Body Engine
Ford Falcon FG XR8 2008–2010 Sedan 5.4L V8

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SKU: 44597822862

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MrGee
Lexington, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Omaha, 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
Belleville, 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
Alexandria, 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
Carnegie, 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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