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Description
FUJITSUBO POWER Getter Exhaust For MCR30W Estima 3.0 2WD minor after 160-27034Brand FUJITSUBO Series Name POWER Getter Product Number 160 27034 Compatible Car MCR30W Estima 3. 0 2WD minor after Compatible Model MCR30W Estima 3. 0 2WD Body type: GH TA MCR30W Engine Type: 1MZ FE Year: 2000. 01 ~ 2003. 05 MCR30W Estima 3. 0 2WD minor after Body Type: TA MCR30W Engine Type: 1MZ FE Year: 2003. 05 to 2006. 01 Notices Order products Aerasu common Exit shape 100_ straight (with holes) Pipe diameter 60. 5_ Minimum ground clearance Roof
| Brand | FUJITSUBO |
| Series Name | POWER Getter |
| Product Number | 160-27034 |
| Compatible Car | MCR30W Estima 3.0 2WD minor after |
| Compatible Model | MCR30W Estima 3.0 2WD Body type: GH TA-MCR30W Engine Type: 1MZ-FE Year: 2000.01 ~ 2003.05 MCR30W Estima 3.0 2WD minor after Body Type: TA-MCR30W Engine Type: 1MZ-FE Year: 2003.05 to 2006.01 |
| Notices | Order products Aerasu common |
| Exit shape | 100Ï_ straight (with holes) |
| Pipe diameter | 60.5Ï_ |
| Minimum ground clearance | Roof height 1736mm (car verification 1770mm) measured in the car, 119mm in the center muffler rear |
| Accessories list | Ring gasket Ã_ 1 M10 Ã_ 20 flange bolts Ã_ 2 M10 flange nut Ã_ 4 M8 Ã_ 25 bolts · PW (2 co) · SW · nut set Ã_ 1 dedicated bracket Ã_ 1 |
| Intermediate acceleration | Stock: 2.3 seconds -> Fujitsubo: 2.2 seconds |
| Maximum output | Stock: 141.3kw (192.1ps) / 5630rpm -> Fujitsubo: 147kw (199.9ps) / 5580rpm |
| Maximum torque | Stock: 277.3N · m (28.3kg · m) / 4340rpm -> Fujitsubo: 285.2N · m (29.1kg · m) / 4260rpm |
| Weight | Stock: 18.4kg -> Fujitsubo: 12.2kg |
| Volume idling | Stock: 62dB -> Fujitsubo: 64dB |
| Middle RPM Sound | Stock: 77dB -> Fujitsubo: 87dB |
| High RPM Sound | Stock: 82dB -> Fujitsubo: 89dB |
| Mid RPM Acceleration Sound | Stock: 95dB -> Fujitsubo: 109dB |
| Notes | Images are for illustration purpose only. Actual product may vary. |
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4.5 ★★★★★
Based on 28 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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