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Description
Delphi-Bath VanityFinish Chaulk White Category Bath Vanity Family Delphi Voltage 120 277 Backplate Height(in) 0. 59 Backplate Width(in) 3. 93 Bulb Dimmable Triac or ELV at 120V Bulb Hours 50000 Bulb Type LED Extension 1. 75 Introduction Date 45444 Kelvin 27 30 35 40 50 Length(in) 30 Lumens Light Output 2200 Material Concrete, Steel, PC Ship Carton Height(in) 9. 449999999999999 Ship Carton Length(in) 33. 07 Ship Carton Width(in) 4. 53 Ship Weight(lbs) 10. 3 Sold By Each
| Finish | Chaulk White |
| Category | Bath Vanity |
| Family | Delphi |
| Voltage | 120-277 |
| Backplate Height(in) | 0.59 |
| Backplate Width(in) | 3.93 |
| Bulb Dimmable | Triac or ELV at 120V |
| Bulb Hours | 50000 |
| Bulb Type | LED |
| Extension | 1.75 |
| Introduction Date | 45444 |
| Kelvin | 27-30-35-40-50 |
| Length(in) | 30 |
| Lumens / Light Output | 2200 |
| Material | Concrete, Steel, PC |
| Ship Carton Height(in) | 9.449999999999999 |
| Ship Carton Length(in) | 33.07 |
| Ship Carton Width(in) | 4.53 |
| Ship Weight(lbs) | 10.3 |
| Sold By | Each |
| Vendor Ship Method | UPS |
| Weight(lbs) | 9.1 |
| Wire Included | 8 |
| ADA Compliant | Yes |
| Carton Cubic Feet | 0.82 |
| Cartons Per Unit | 1 |
| CRI | 90 |
| Damp Rated | Yes |
| Install Direction | Up/Down |
| Lighting Direction | Up/Down |
| Long Description | Long spans of fluted concrete panels blend Western classicism with modern technology. Scalloped concrete is finished in a Chalky White finish and suitable for damp locations. Choose from stem hung pendants or backlit wall panels that provide ambient light |
| Output Voltage | 18-40 |
| PCB Board Replaceable | Yes |
| Safety Rating | cETLus |
| Unit Increments | 1 |
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4.7 ★★★★★
Based on 19 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