slip dresses Erica Tanov | Lola Silk Slip Dress
SKU: 29995870386
slip dresses

slip dresses Erica Tanov | Lola Silk Slip Dress

Sale price$18.28 Regular price$20.31
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Size: 4

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Description

slip dresses Erica Tanov | Lola Silk Slip DressOur best selling and most renowned essential slip dress, Lola is bias cut and french seamed with all the vintage detailing of an heirloom silk slip. From the highest quality French lace trim at both the neckline and hem to the classic bodice seams that provide structure with ease, the Lola is designed for an exquisite perfect fit. Versatile enough to wear from day to night, with or without a bra. For the ultimate in bohemian luxury style, layer the

Our best-selling and most renowned essential slip dress, Lola is bias-cut and french seamed with all the vintage detailing of an heirloom silk slip. From the highest quality French lace trim at both the neckline and hem to the classic bodice seams that provide structure with ease, the Lola is designed for an exquisite perfect fit. Versatile enough to wear from day to night, with or without a bra. For the ultimate in bohemian luxury style, layer the Maude Slip dress over the Lola Slip dress in a tonal or contrasting colorway.

 

The Lola Silk Slip dress is Erica Tanov’s first silk slip dress design and has been an essential for leading ladies since it debuted at Barneys in the early 1990’s – from Madonna to Julianne Moore & SJP, the Lola has graced both cinema screens and prima ballerinas.



Our signature Petal Silk is hand washed and line dried in our California studio, giving our slips and camisoles that soft, relaxed and luxurious feel of an heirloom piece. Our Petal Silk is a lightweight fabric that travels with you easily, just twist in ball, pack into your luggage, and gently shake out to wear straight away.  A timeless and quality silk, it can be hand washed and line dried and with care passed down for generations to come.

 

Erica Tanov

Details

Made in USA. 100% silk. Hand wash cold and line dry.

 

Now available in size 4 - US Women's size 12/14

Sizing
Erica Tanov Size US Size Chest Waist Hip
0 2-4 34" 28" 41"
1 6-8 35" 29" 42"
2 10 36" 30" 43"
3 12 37" 31" 44"
4
14
38"
32"
45"
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SKU: 29995870386

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R. Cote
Houston, 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
Draper, 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
Waukegan, 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
Grantham, 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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3rd Act
West Palm Beach, US
★★★★★ 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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