Size:
4
Pay in installments of $5.77 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jun 29 - Jul 4
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
modest pink bridesmaid dresses Josie Modest A-Line Ruched Knot Back Chiffon Bridesmaid Dresses, Blushing PinkClad yourself in magnificent grace with this modest Josie dress. The ethereal A line silhouette drapes your curves in illustrious elegance, while the ruched bodice shapes the fabric to flatter every figure. The knotted detail on the back elegantly accentuates natural curves and endows you with a heightened sense of poised femininity. Silhouette: A line Fabric: Chiffon (Non Stretch) Neckline: V neck Embellishment: Ruched Back Style: Lace Up Sleeve
Clad yourself in magnificent grace with this modest Josie dress. The ethereal A-line silhouette drapes your curves in illustrious elegance, while the ruched bodice shapes the fabric to flatter every figure. The knotted detail on the back elegantly accentuates natural curves and endows you with a heightened sense of poised femininity.
- Silhouette: A-line
- Fabric: Chiffon (Non-Stretch)
- Neckline: V-neck
- Embellishment: Ruched
- Back Style: Lace Up
- Sleeve Length: Sleeveless
- Dress Length: Floor Length
- Fully lined bodice and skirt.
- Care Instructions: Dry-clean or hand-wash only.
- With built-in padding for added comfort and coverage. If you prefer no padding, please leave a note at checkout or contact us after placing your order.
- Available in full-size range (2-26W) and in custom size(for free).
- The model is 5'8" (173cm), 118 lbs. She is wearing a standard 2 (Bust 83cm, Waist 65cm, Hips 91cm, Hollow to hem 147cm).
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
4.3 ★★★★★
Based on 249 reviews
Sort
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