Pay in installments of $52.38 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 30 - Aug 4
For Your Every Summer RSVP, with Code: SUMMER15
Description
jupiter ast lang paardrijlaarzen zwarte 7 slanke langDe Jupiter rijlaars is gemaakt van zacht kalfshuid aan de buitenkant en stabiel, antislip grip leder aan de binnenzijde. Anatomisch gevormde elastische panelen bieden optimale regulering van breedte. Daarnaast beschermt een anatomisch gevormde leren flap aan de achterkant met elastisch panel en logo sluiting de onderliggende ritshanger. Elastisch veters voor verbeterd draagcomfort. Een slijtvaste bescherming aan de buitenkant en slijtvaste, antislip
De Jupiter rijlaars is gemaakt van zacht kalfshuid aan de buitenkant en stabiel, antislip grip leder aan de binnenzijde. Anatomisch gevormde elastische panelen bieden optimale regulering van breedte. Daarnaast beschermt een anatomisch gevormde leren flap aan de achterkant met elastisch panel en logo sluiting de onderliggende ritshanger. Elastisch veters voor verbeterd draagcomfort. Een slijtvaste bescherming aan de buitenkant en slijtvaste, antislip en niet-markerende buitenzool zorgt ervoor dat de laars er lang goed uit blijft zien. De voorgevormde binnen- en tussenzool biedt comfort en stabiliteit.Om de juiste maat voor laarzen te krijgen, bekijk je de video in de galerij.
Houd er rekening mee dat Tonics-laarzen iets kleiner zijn in het voetgedeelte. Als je door de meting tussen twee maten zit, raden we aan de grotere maat te bestellen.
Een hielwig kan onder de inlegzool worden geplaatst totdat je laarzen zijn ingelopen en de schacht iets is gezakt.
Artikel nr. 343503 Magic Polish is bijzonder geschikt voor het verzorgen van je laarzen.
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 10 reviews
Sort
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
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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024