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Description
Motorcycle Rear View Side Mirrors Wind Swivel Wing + LED Indicators For Ducati SuzukiMirrors designed for high speed riding with both aesthetics and aerodynamics. The mirror adopts a high definition convex mirror design. When using the mirror function, you can observe the vehicle behind at high speed. The fixed wind wing function is adopted to form an angle of about 25 degrees with the ground to enhance the grip when driving at high speed. The bottom strip is designed to adapt to more models (for specific models, please refer to the
- Mirrors designed for high-speed riding with both aesthetics and aerodynamics. The mirror adopts a high-definition convex mirror design. When using the mirror function, you can observe the vehicle behind at high speed. The fixed wind wing function is adopted to form an angle of about 25 degrees with the ground to enhance the grip when driving at high speed.
- The bottom strip is designed to adapt to more models (for specific models, please refer to the detailed description below, or check the installation dimensions by yourself)
- High-quality aluminum alloy + high-definition convex mirror + ABS. High quality and cost-effective, made of high-quality materials, high hardness and durable. Exquisite workmanship makes your motorcycle more attractive.
- Humanized design, the upper and lower axes (180°/360°) can be adjusted from multiple angles. Two modes of rearview mirror/fixed wind wing, more choices allow you to find the most comfortable angle
- Material: CNC Aluminium Alloy & Glass
- Color: Black
- Placement on Vehicle: Left, Right, Front
- LED Indicators (Amber) Wiring: Red for Positive, Black for Negative
- 2 x Motorcycle Rear view Mirrors with LED Indicator Lights
- Due to the light and screen setting difference, the item's color in the picture may be slightly different from the actual color of the item.
- Please strictly check the shape of the mirror base and size before purchasing,
- Please allow slight dimension differences due to different manual measurements.
- Professional installation is highly recommended, Installation instruction is not included.
- Modification may be required and resistors may needed if your original indicators not LED type.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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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.
- To process your return/exchange, please contact us at [email protected]
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4.5 ★★★★★
Based on 8 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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