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Description
RPM Front Bearing Carriers Traxxas Slash Rustler Stampede RPM80372The RPM Front Bearing Carriers are a durable upgrade designed for Traxxas 2WD trucks including the Slash, Rustler and Stampede. Engineered to use larger 5x11mm bearings, these carriers provide increased load capacity, improved durability and longer maintenance intervals compared to stock components. Features Designed for Traxxas 2WD Slash Nitro Slash Rustler and Stampede Allows the use of larger 5x11x4mm wheel bearings Higher load capacity compared to
The RPM Front Bearing Carriers are a durable upgrade designed for Traxxas 2WD trucks including the Slash, Rustler and Stampede. Engineered to use larger 5x11mm bearings, these carriers provide increased load capacity, improved durability and longer maintenance intervals compared to stock components.
Features
- Designed for Traxxas 2WD Slash Nitro Slash Rustler and Stampede
- Allows the use of larger 5x11x4mm wheel bearings
- Higher load capacity compared to standard 5x8mm bearings
- Helps increase service life and reduce maintenance frequency
- Manufactured from RPM high strength composite material
- Backed by RPM lifetime breakage warranty
Specifications
- Colour: Black
- Material: High strength plastic composite
- Bearing Size Required: 5x11x4mm
- Vehicle Compatibility: Traxxas 2WD Slash Nitro Slash Rustler Stampede
- Replaces Traxxas Part: 3736
- SKU: RPM80372
Includes
- 2 x Front Bearing Carriers
Important Notes
- Requires four 5x11x4mm bearings not included
- Optional RPM rear bearing carriers available separately
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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]
- Please click here for more details>>> Return & Exchange Policy
4.4 ★★★★★
Based on 10 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
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