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Description
red silk halter dress Glam Agenda Satin Asymmetrical Halter Drape Scarf Maxi Dress L / merlotGlam is calling and this dress answered! Turn heads in this satin maxi featuring a chic asymmetrical neck and a fabulous draped detail that can be styled over your shoulder or around your neck for a sophisticated touch. Perfect for elegant evenings and unforgettable moments. Lightweight satin material A built in lining that ends above the knee An asymmetrical, one shoulder neckline featuring draped detail that can be thrown over your shoulder or
- Glam is calling and this dress answered! Turn heads in this satin maxi featuring a chic asymmetrical neck and a fabulous draped detail that can be styled over your shoulder or around your neck for a sophisticated touch. Perfect for elegant evenings and unforgettable moments. - Lightweight satin material - A built-in lining that ends above the knee - An asymmetrical, one-shoulder neckline featuring draped detail that can be thrown over your shoulder or around your neck for a chic touch - An interior non-slip strip at the neckline - An asymmetrical double strap at the back - Side zip closure - A flattering silhouette that ends in a maxi length hemline featuring a side slit accentMeasurements
- S : Bust 30", Hip 32", Length 59.5", Waist 28".
- M : Bust 32", Hip 34", Length 60", Waist 30".
- L : Bust 34", Hip 36", Length 60.5", Waist 32".
Material
- Spandex: 15%
- Polyester: 85%
- Polyester: 100%
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4.2 ★★★★★
Based on 1371 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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