SKU: 88630877400

Bond Zip Pouch Logo Embossed Leather Large

Sale price$254.25 Regular price$282.50
Save 10%

Pay in installments of $70.62 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Sep 7 - Sep 12

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Bond Zip Pouch Logo Embossed Leather LargeThese are professional pictures of the actual bag offered by Rebag. Estimated Retail Price: $875 Condition: Excellent. Slight creasing on exterior, minimal wear in interior, scratches on hardware. Accessories: Box, Dust Bag Measurements: Height 7. 5", Width 11", Depth 1" Designer: Givenchy Model: Bond Zip Pouch Logo Embossed Leather Large Exterior Material: Leather Exterior Color: Black Interior Material: Fabric Interior Color: Black Hardware Color:

These are professional pictures of the actual bag offered by Rebag.

Estimated Retail Price: $875
Condition: Excellent. Slight creasing on exterior, minimal wear in interior, scratches on hardware.
Accessories: Box, Dust Bag
Measurements: Height 7.5", Width 11", Depth 1"
Designer: Givenchy
Model: Bond Zip Pouch Logo Embossed Leather Large
Exterior Material: Leather
Exterior Color: Black
Interior Material: Fabric
Interior Color: Black
Hardware Color: Gold Tone
Clair Code: HB.GV.BDZ.LGE.LG
Item Number: 52318/1

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 88630877400

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 25 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
R
Verified Purchase
R. Cote
Louisville, US
★★★★★ 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
R
Verified Purchase
Rafael Azevedo Souza Costa
Chelsea, US
★★★★★ 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
T
Verified Purchase
Thomas
Massapequa, US
★★★★★ 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
L
Verified Purchase
La Monte HP Yarroll
New York, US
★★★★★ 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
R
Verified Purchase
3rd Act
Dallas, US
★★★★★ 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

recommand products