NAHLA RAYLA COUNTER STOOL - BELFAST OYSTER SHELL

NAHLA RAYLA COUNTER STOOL - BELFAST OYSTER SHELL

Marsoni

M251S

$395.43

Get it in 3 business days with 1 day shipping. Friday, May 29

NAHLA RAYLA COUNTER STOOL - BELFAST OYSTER SHELLDescription An elegant cantilever counter stool designed with soft, textured belfast oyster shell fabric and an exposed antique brass stainless steel frame. Construction Material Cover Fabric Fabric Content 95% Polyester, 5% Nylon Base Legs Stainless Steel Base Finish Antique Brass Frame Structure Metal Performance Fabric No Contract Viable Yes Fire Rated Foam Yes Fire Rated Cover Yes CARB Yes Assembly Required No Imperial Overall Dimensions 17W x 18.

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This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.

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Reviewed in the United States on February 21, 2025

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William L. Crupi

San Leandro, US

★★★★★ 5

Great helpful book.

Format: Kindle

This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.

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Reviewed in the United States on February 21, 2025

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jeff s kittrell

Charlottesville, US

★★★★★ 5

Love it - revolutionary approach to teaching, presenting complex concepts

Format: Paperback

This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.

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Reviewed in the United States on June 18, 2025

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Amazon User

Houston, US

★★★★★ 5

Great book to understand Neural Networks!

Format: Paperback

Loved the book and I highly recommend. It was thorough and very easy to understand.

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Reviewed in the United States on December 1, 2025