SKU: 87588955825

Swan Theme Khoi Bag / Pinata

$337.50 $375.00
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Ships within 48 hours · Estimated delivery Jul 30 - Aug 4

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Description

Swan Theme Khoi Bag / PinataBring the excitement and fun to your party with this classic piata khoi Bag! Perfect for birthdays, fiestas, and other special occasions, this piata khoi bag is sure to be a hit with both kids and adults. Fill it up with candy, small toys, or other surprises, and watch as your guests take turns trying to break it open. Made from high quality materials thermocol and tissue paper, this piata is durable and comes in a variety of designs and themes Size :

Bring the excitement and fun to your party with this classic piñata/khoi Bag!

Perfect for birthdays, fiestas, and other special occasions, this piñata / khoi bag is sure to be a hit with both kids and adults. Fill it up with candy, small toys, or other surprises, and watch as your guests take turns trying to break it open.

  • Made from high-quality materials - thermocol and tissue paper, this piñata is durable and comes in a variety of designs and themes
  • Size : 18 x 12 inch
  • Perfect for upto 40-50 kids
  • Easy to hang and safely constructed, our pinatas feature a secure loop for effortless installation and a convenient trap door for filling.

Whether you're hosting an indoor or outdoor event, our pinatas are ready to bring the fun.Elevate your celebration to new heights with our captivating Theme Pinatas. It's time to create unforgettable moments and a truly memorable experience for everyone involved.

Please contact on +91-9648006655 for any customisation or for expedited delivery.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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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]
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SKU: 87588955825

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4.3 ★★★★★
Based on 7 reviews
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R
Verified Purchase
R. Cote
Fort Morgan, 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
Houston, 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
Grantham, 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
Birmingham, 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
Port Orchard, 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.
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Reviewed in the United States on May 7, 2024

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