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Ships within 48 hours · Estimated delivery Aug 21 - Aug 26
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Description
gold prom dresses 2024 Gold long Prom Dress With Slit – TANYA BRIDALWedding Dresses Wedding Guest Dresses Special Occasion Dresses Wedding Accessories Produce Time 25 working days Rush order 15 working days ($30 extra) Shipping Method DHL Fedex Ups TNT Epacket Post air mail Other Shipping Time 3 10 working days by DHL Fedex Ups TNT, 10 20 working days by USPS or post air mail Seller Email tanyanini@126. com Produce Kind OEM Brand Name: Tanya Bridal Dresses Length: Floor Length Sleeve Style: Sleeveless Train: None
| Wedding Dresses | Wedding Guest Dresses | Special Occasion Dresses | Wedding Accessories |
|
Produce Time |
25 working days |
| Rush order | 15 working days ($30 extra) |
| Shipping Method | DHL/Fedex/Ups/TNT/Epacket/ Post air mail/Other |
| Shipping Time | 3-10 working days by DHL/Fedex/Ups/TNT, 10 -20 working days by USPS or post air mail |
| Seller Email | [email protected] |
| Produce Kind | OEM |
- Brand Name: Tanya Bridal
- Dresses Length: Floor Length
- Sleeve Style: Sleeveless
- Train: None
- is_customized: Yes
- Occasion: Prom
- Built-in Bra: Yes
- Fabric Type:Elestic Satin
- Sleeve Length(cm):Long
- Decoration:Beads
- Item Type：Prom Dress
- Material: Polyester
- Silhouette:Mermaid
- Neckline:Sweetheart
- Back: Zipper
- We Would like use Strong Material,the fabric is soft and looks awesome, Dry clean or cold water hand wash.
- For standard size dress. we would come out based on our standard size table, before you order, please make sure the detail measurement matched the size you need. System default size is based on US size.If you need to customize size，please feel free to contact us.
Size Chart:
Buyer can choose size according to the size chart below
If size not fit to you ,you can choose custom made ,but please contact with us first .Thank you !
if you need custom made ,please give us your size according to this guide .
Shipping:
After your payment ,we will ship your dress out within 25 working days .
Before we ship dress out ,we will confirm the dress photos with you .
Usually we choose DHL ,UPS,Fedex,Epacket to shipping your dress out according to your country policy .
Also we can send to you the tracking number after we ship goods out .
Notes:
1.The item will be sent to your address,please make sure the address is correct and please let me know your contact name (Full name) and your phone Number
2.The dress does not incloud any accessories such as :wedding veils ,gloves or petticoat.
3.If you are concerned about the return policy before placing the order,please read our return policy carefully at the bottom of page.
4.the taxes are charged by your country,so we will do not cars of them,but if you have suggestion,we will try our best to lower down such cases,thank you for your co-operations and standing .
Enjoy your perchase.
Refund policy:
Please confirm your order (right size, color, style) carefully before you decide to place the order. All the orders are arranged according to your order confirmation.
Orders can be cancelled free of charge within 24 hours.
Cancellation from 24 hours to 48 hours requires a deduction of 30%.
Orders cancelled within 72 hours need to be deducted by 50%.
You can't cancel the order after 3 days.
Returns and exchanges are not supported.
Thank you for your understanding and your order. Wish you a happy life.
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
4.2 ★★★★★
Based on 25 reviews
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Product Reviews
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
★★★★★ 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