SKU: 5975142238

Sea Gull Lighting Socorro 22 in. W. 4-Light Weathered Gray and Distressed Oak Chandelier

Sale price$168.30 Regular price$187.00
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Description

Sea Gull Lighting Socorro 22 in. W. 4-Light Weathered Gray and Distressed Oak ChandelierFeatured in the decorative Socorro collection Uses 4 torpedo Candelabra 60 watt light bulbs Clear bulb(s) recommended for this fixture Meets Title 24 energy efficiency standards Supplied with 12 Feet of wire Title 24 compliant if used with joint appendix approved light bulbs listed In the California Energy Commission Appliance database Supplied with wire pre laced through chain Safety listed for damp locations A great choice for your do it yourself

Featured in the decorative Socorro collection Uses 4 torpedo Candelabra 60 watt light bulbs Clear bulb(s) recommended for this fixture Meets Title 24 energy efficiency standards Supplied with 12 Feet of wire Title 24 compliant if used with joint appendix approved light bulbs listed In the California Energy Commission Appliance database Supplied with wire pre-laced through chain Safety listed for damp locations A great choice for your do-it-yourself project

Features
Collection Name Socorro
Number of Tiers 1
Width (Inches) 22
Height (Inches) 18.375
Wire Length (Inches) 144
Chain/Downrod Length (Inches) 120
Adjustable Height Yes
Maximum Hanging Height (Inches) 140.375
Minimum Hanging Height (Inches) 18.375
Weight (lbs.) 8.9
Fixture Material Metal
Frosted Glass N/A
Light Bulb Base Type Candelabra base (E-12)
Recommended Light Bulb Shape B10
Maximum Bulb Wattage (or Equivalent) 60
Type of Hanging Device Chain
Number of Bulbs Included 0
Mounting Hardware Included Yes
Usage Rating Damp rated
ENERGY STAR Certified No
For Use in Kitchens Yes
For Use in Dining Rooms Yes
For Use in Bathrooms No
For Use in Foyers Yes
For Use in Bedrooms No
For Use in Living Rooms No
Shade Color N/A
Manufacturer Color/Finish Weathered gray and distressed oak
ARB265W Exclusive No
Warranty 1-year
Hanging Light Yes
Bulb(s) Included No
CA Residents: Prop 65 Warning(s) No
Characteristics Cage
Fixture Finish Distressed
Glass Type N/A
Safety Listing ETL safety listing
Shade Material N/A
Number of Lights 4
Swag Kit Included Yes
Type Mini
Size Large (more than 26 inches wide)
Dimmable Yes
Power Source Hardwired
Fixture Color Family Brown
Shape Abstract
UNSPSC 39111500
Style Transitional

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SKU: 5975142238

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R. Cote
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★★★★★ 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
New York, 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
Battle Creek, 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
Waukegan, 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
Port Orchard, 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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