dress for kids Marilla Ruffle Kids Dress
SKU: 45328611366
dress for kids

dress for kids Marilla Ruffle Kids Dress

Sale price$20.84 Regular price$23.15
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Size: 4

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Description

dress for kids Marilla Ruffle Kids DressDescription & Details The Marilla Ruffle KIDS Dress in Lilac. Beautifully designed with frothy tulle and interlocking scallop shapes to create a playful texture. This pretty style features elegant short sleeves, a round neckline and a full skirt. The perfect statement style for your little one. Kisses tulle decorated with layers of tulle ruffles Bodice and skirt are fully lined, sleeves are unlined 100% Recycled polyester 100% Recycled polyester

Description & Details

The Marilla Ruffle KIDS Dress in Lilac. Beautifully designed with frothy tulle and interlocking scallop shapes to create a playful texture. This pretty style features elegant short sleeves, a round neckline and a full skirt. The perfect statement style for your little one.

- Kisses tulle decorated with layers of tulle ruffles

- Bodice and skirt are fully lined, sleeves are unlined

- 100% Recycled polyester

- 100% Recycled polyester lining

- Concealed zip at centre back

- Frill detail at waist

- Made in India

Responsibly Sourced

- Recycled tulle fabric:

- 100% of the tulle fabric used for this design is made from recycled plastic.

- Recycled lining fabric:

- 100% of the lining fabric used for this design is made from recycled plastic.

FAIRLY MADE

Needle & Thread are now proud to partner with Fairly Made® to enhance our supply chain transparency. This partnership will help us to meet our social and environmental goals whilst sharing full visibility of how our products are made. We are excited to share our traceability journey with you very soon.

PACKAGING

At Needle & Thread, we're constantly taking steps to improve our sustainability practices, from product design to packaging. Our eco-conscious box and tissue paper used to package your order are FSC-approved, and are both recyclable.

The stickers used on the tissue paper and on the box can both be recycled.

Fit

- Relaxed fitting dress with a multi-layered full skirt

- Length finishes below the knee

Care Advice

- To freshen between wears spot clean with lukewarm water and cool iron on reverse

- Delicate dry clean

Delivery and Returns

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Exchange/Return Notes
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  • 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: 45328611366

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Los Angeles, 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
Grantham, 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
Omaha, 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
Phoenix, US
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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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3rd Act
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★★★★★ 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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