SKU: 18125670909

Berkley Jensen 2' x 3' Plush Bath Rug - White

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Description

Berkley Jensen 2' x 3' Plush Bath Rug - WhiteSink into the luxurious comfort of the Berkley Jensen Plush Bath Rug, size 24 x 36. Ideal for any bathroom in your home, this machine tufted bath rug is designed with 100% micro polyester. It offers an irresistible velvety soft cushion underfoot and a fade and stain resistant finish for long lasting and vivid color clarity. This bath rug is designed with a cut pile construction and is finished with a secure skid resistant backing to help it stay in

Sink into the luxurious comfort of the Berkley Jensen Plush Bath Rug, size 24” x 36”. Ideal for any bathroom in your home, this machine-tufted bath rug is designed with 100% micro-polyester. It offers an irresistible velvety soft cushion underfoot and a fade and stain-resistant finish for long-lasting and vivid color clarity. This bath rug is designed with a cut pile construction and is finished with a secure skid-resistant backing to help it stay in place safely with square corners. Appropriate for indoor use only, this bath rug is perfect for areas like under the sink or in front of the bathtub or shower. Easy care for effortless maintenance, simply toss the rug in the washing machine with mild detergent and tumble dry on low, as needed.

GRP:DRPB

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SKU: 18125670909

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4.9 ★★★★★
Based on 13 reviews
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Verified Purchase
MrGee
Lowell, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
New York, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Cuba, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Massapequa, 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
L
Verified Purchase
La Monte HP Yarroll
Charlottesville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025

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