Pay in installments of $75.00 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 19 - Aug 24
For Your Every Summer RSVP, with Code: SUMMER15
Description
GPI Moto Fearless Ride Ladies Boots (S.A Size 4)The GPI Moto Fearless Ride Boots (SKU: CB BT FS 0001) are premium, all weather motorcycle riding boots engineered by GPI Moto to balance high level track touring protection with everyday walking comfort. Part of the brand's popular "Fearless Ride" series, this footwear is constructed with heavy duty abrasion resistance to withstand demanding road conditions while keeping your feet dry and supported. Core Technical Specifications SKU Model Code: CB BT
The GPI Moto Fearless Ride Boots (SKU: CB-BT-FS-0001) are premium, all-weather motorcycle riding boots engineered by GPI Moto to balance high-level track/touring protection with everyday walking comfort. Part of the brand's popular "Fearless Ride" series, this footwear is constructed with heavy-duty abrasion resistance to withstand demanding road conditions while keeping your feet dry and supported.
Core Technical Specifications
- SKU / Model Code: CB-BT-FS-0001
- Primary Material: Reinforced full-grain or premium split leather upper paired with lightweight, high-abrasion Cordura panels.
- Weather Protection: Fully integrated windproof and waterproof inner membrane with breathable mesh lining to wick away moisture.
- Sole Construction: Single-density vulcanized rubber (VR) non-slip compound designed for maximum footpeg traction and oil resistance.
Key Safety & Impact Protection
- Reinforced Armour: Built-in heavy-duty TPU shin guards and contoured ankle cups protect sensitive impact zones.
- Structural Shielding: Rigid, shock-absorbing TPU heel counters and reinforced toe boxes safeguard against crushing injuries.
- Shift Pad Protection: Textured, vulcanized rubber or TPU overlay on the upper toe area prevents premature wear from the motorcycle gear lever.
- Night Visibility: Integrated Scotchlite or high-vis reflective inserts on the rear heel to improve low-light rider safety.
Ergonomics & Comfort Features
- Closure System: Secure lateral zipper closure paired with an adjustable top Velcro flap for a custom calf fit and easy entry/exit.
- Flexibility Panels: Front and rear accordion-style padded leather expansion panels offer optimal ankle mobility when changing gears or walking off the bike.
- Interior Comfort: Ergonomic, removable, and washable inner footbed combined with soft collar trimming to prevent chafing during long tours.
If you are looking to purchase these or want to check fitment, let me know:
- Your standard shoe size (EU/UK/US)
- The type of riding you do most (e.g., daily commuting, long-distance touring, or adventure track)
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
4.1 ★★★★★
Based on 8 reviews
Sort
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