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Description
yellow dress with pink flowers NYOMI MAXI DRESSDETAILS A maxi dress update of our most loved Nyomi mini dress in yellow floral print Fixed lace shoulder straps Lace bust panel with gathers at centre front Featuring open back design Functional ties at back neck and back bust Pull on construction Placement print Each garment will have similar print placement Fully lined Please note: Color may vary due to lighting on images. The product images (without model) are closest to the product's true color.
DETAILS
- A maxi dress update of our most loved Nyomi mini dress in yellow floral print
- Fixed lace shoulder straps
- Lace bust panel with gathers at centre front
- Featuring open back design
- Functional ties at back neck and back bust
- Pull on construction
- Placement print - Each garment will have similar print placement
- Fully lined
- Please note: Color may vary due to lighting on images. The product images (without model) are closest to the product's true color.
SIZE & FIT
- True to size. We recommend wearing your standard size
- Maxi length - Style sits approximately at top of foot
- Fitted - Designed to perfectly skim the body
- Centre Back Length: XXS: 39.8 in, XS: 39.8 in, S: 39.8 in, M: 40.0 in, L: 40.2 in, XL: 40.4 in
- Ella (Model 1): Size XS, Height: 172/5'7.5", Bust: 84/33, Waist: 64/25, Hips: 89/35
FABRIC
- 92% Polyester 8% Elastane
- Stretch = High stretch. This fabric is extremely stretchy
- Beautiful mesh fabric with soft buttery hand-feel
- This fabric is not sheer
CARE INSTRUCTIONS
- Wash and dry garment inside out
- Cold hand wash
- Dry flat in shade
- Cool iron on reverse
- Do not iron embellishment
- Do not bleach
- Do not tumble dry
- Do not dry clean
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
4.4 ★★★★★
Based on 1257 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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