SKU: 23020811669

Peekaboo Bag Leather with Python Whipstitch Regular

Sale price$1093.50 Regular price$1215.00
Save 10%

Pay in installments of $303.75 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 30 - Nov 4

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Peekaboo Bag Leather with Python Whipstitch RegularThese are professional pictures of the actual bag offered by Rebag. This item can only be shipped within the United States. Estimated Retail Price: $4,500 Condition: Great. Creasing and indentations on exterior, minimal wear in interior, scratches on hardware. Accessories: No Accessories Measurements: Handle Drop 4. 5", Height 10", Width 13", Depth 4", Strap Drop 17" Designer: Fendi Model: Peekaboo Bag Leather with Python Whipstitch Regular Exterior

These are professional pictures of the actual bag offered by Rebag.This item can only be shipped within the United States.

Estimated Retail Price: $4,500
Condition: Great. Creasing and indentations on exterior, minimal wear in interior, scratches on hardware.
Accessories: No Accessories
Measurements: Handle Drop 4.5", Height 10", Width 13", Depth 4", Strap Drop 17"
Designer: Fendi
Model: Peekaboo Bag Leather with Python Whipstitch Regular
Exterior Material: Leather
Exterior Color: Pink
Interior Material: Microfiber, Leather
Interior Color: Neutral, Pink
Hardware Color: Silver
Clair Code: HB.FE.PEK.LWPI.REG
Item Number: 58342/168

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: 23020811669

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.5 ★★★★★
Based on 15 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
J
Verified Purchase
jeff s kittrell
Los Angeles, US
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 18, 2025
A
Verified Purchase
Amazon User
Massapequa, US
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 1, 2025
K
Verified Purchase
Kyle
Waukegan, US
★★★★★ 5
Quadruple BAM.
Format: Paperback
Quadruple BAM. Josh Starmer has done it again at a higher level than ever, making deep learning concepts accessible to absolutely anyone.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 22, 2025
B
Verified Purchase
Benjamin
Massapequa, US
★★★★★ 5
Amazing textbook
Format: Paperback
Awesome book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 12, 2025
J
Verified Purchase
Jesus
Grantham, US
★★★★★ 5
Buen libro para entender conceptos de redes neuronales
Format: Paperback
El libro explica de manera didáctica los principales algoritmos de redes neuronales estilo Statquest. Esperando la versión en español.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 24, 2026

recommand products