burgundy church dress Female Mesh Gothic Halter Maxi Dress with Church Print
SKU: 17848732852
burgundy church dress

burgundy church dress Female Mesh Gothic Halter Maxi Dress with Church Print

$25.70 $28.55
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Size: 4
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Description

burgundy church dress Female Mesh Gothic Halter Maxi Dress with Church PrintGoth Church Print Dress with Lace Up Back Detail This burgundy gothic maxi dress blends printed mesh with soft elastic knit for a sheer layered look with lining to avoid exposure. The halter neckline is detailed with cross studs for a darker finish, while the back drawstring cinches the waist into an elegant silhouette. A dramatic church print across the skirt creates a strong gothic atmosphere for evening, festival, or alternative styling now.

Goth Church Print Dress with Lace Up Back Detail

This burgundy gothic maxi dress blends printed mesh with soft elastic knit for a sheer layered look with lining to avoid exposure. The halter neckline is detailed with cross studs for a darker finish, while the back drawstring cinches the waist into an elegant silhouette. A dramatic church print across the skirt creates a strong gothic atmosphere for evening, festival, or alternative styling now.

IMPORTANT
Knowing your body measurements, refer to the Size Chart to compare them with the actual measurements of the item, which will help you choose the right size to buy.

Product Details

  • Brand: PUNK RAVE 
  • Gender: Female
  • Style: Alternative Fashion, Gothic
  • Color: Burgundy
  • Material: Mesh, Knitted Fabric
  • The Fabric Composition: 95% Polyester, 5% Elastane
  • The Fabric 2 Composition: 90% Polyester, 10% Elastane
  • Lining Material Composition: 95% Cotton, 5% Elastane
  • The Weight: 250g/0.55lbs
  • Version: Slim-Fitting
  • Soft index: Softer
  • Elastic index: Good Elastic
  • Thickness index: Transparent

Consult the Size Chart for the actual measurements of the item to decide the right size for your purchase.

Women's Dress Size Chart
PRODUCT
SIZE		 Bust
(cm/inch)		 Waist
(cm/inch)		 Hem
(cm/inch)		 Length
(cm/inch)
XS-S 76 cm / 29.92 inch 65.5 cm / 25.79 inch 138 cm / 54.33 inch 108 cm / 42.52 inch
M-L 86 cm / 33.86 inch 75.5 cm / 29.72 inch 148 cm / 58.27 inch 110 cm / 43.31 inch
XL-XXL 96 cm / 37.80 inch 85.5 cm / 33.66 inch 158 cm / 62.20 inch 112 cm / 44.09 inch

Fitting Size Guide According To The Body Parameters
SIZE
FITTING		 Height
(cm/inch)		 Bust
(cm/inch)		 Waist
(cm/inch)		 Hips
(cm/inch)
XS-S will fit 161-167 cm / 63.39-65.75 inch 80-90 cm / 31.50-35.43 inch 60-70 cm / 23.62-27.56 inch 85-95 cm / 33.46-37.40 inch
M-L will fit 167-173 cm / 65.75-68.11 inch 90-100 cm / 35.43-39.37 inch 70-80 cm / 27.56-31.50 inch 95-105 cm / 37.40-41.34 inch
XL-XXL will fit 173-178 cm / 68.11-70.08 inch 100-110 cm / 39.37-43.31 inch 80-90 cm / 31.50-35.43 inch 105-115 cm / 41.34-45.28 inch

The Item Worn By The Person In The Photo: XS-S
BODY PARAMETERS
Height
(cm/inch)		 Bust
(cm/inch)		 Waist
(cm/inch)		 Hips
(cm/inch)
176 cm / 69.29 inch 81 cm / 31.89 inch 57 cm / 22.44 inch 88 cm / 34.65 inch
Click here to use the measurement converter.

*These charts are for reference only. Fit may vary depending on the construction, materials, and manufacturer.
Please note that actual colors may vary slightly depending on your screen settings and lighting conditions.

How to Measure

Please follow the image instructions below to measure correctly:

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SKU: 17848732852

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MrGee
Birmingham, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
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R. Cote
Lake Worth, 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
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Fort Morgan, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Dallas, 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.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Lowell, 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.
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Reviewed in the United States on April 13, 2025

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