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Ships within 48 hours · Estimated delivery Aug 8 - Aug 13
For Your Every Summer RSVP, with Code: SUMMER15
Description
Ankh Unisex SweatshirtEach unique, all over printed sweatshirt is precision cut and hand sewn to achieve the best possible look and bring out the intricate design. What's more, the durable fabric with a cotton feel face and soft brushed fleece inside means that this sweatshirt is bound to become your favorite for a long time. The ankh symbolsometimes referred to as the key of life or the key of the Nileis representative of eternal life in Ancient Egypt. 70% polyester, 27%
Each unique, all-over printed sweatshirt is precision-cut and hand-sewn to achieve the best possible look and bring out the intricate design. What's more, the durable fabric with a cotton-feel face and soft brushed fleece inside means that this sweatshirt is bound to become your favorite for a long time.The ankh symbol—sometimes referred to as the key of life or the key of the Nile—is representative of eternal life in Ancient Egypt.
• 70% polyester, 27% cotton, 3% elastane
• Fabric weight: 8.85 oz/yd² (300 g/m²), weight may vary by 2%
• Soft cotton-feel face
• Brushed fleece fabric inside
• Unisex fit
• Overlock seams
• Blank product components sourced from Poland
This product is made especially for you as soon as you place an order, which is why it takes us a bit longer to deliver it to you. Making products on demand instead of in bulk helps reduce overproduction, so thank you for making thoughtful purchasing decisions!
Size guide
| CHEST (inches) | WAIST (inches) | HIPS (inches) | |
| XS | 34 ⅝ | 26 ¾ | 37 |
| S | 36 ¼ | 28 ⅜ | 38 ⅝ |
| M | 37 ¾ | 29 ⅞ | 40 ⅛ |
| L | 41 | 33 ⅛ | 43 ¼ |
| XL | 44 ⅛ | 36 ¼ | 46 ½ |
| 2XL | 47 ¼ | 39 ¼ | 49 ⅝ |
| 3XL | 50 ⅜ | 42 ½ | 52 ¾ |
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
4.5 ★★★★★
Based on 30 reviews
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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
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