SKU: 37445291305

Tote-bag ethnique recyclé - Respecte ta mer

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Description

Tote-bag ethnique recyclé - Respecte ta merLe tote bag ethnique en toile recycle pour les amoureux de l'ocan. Trs rsistant et de qualit premium, ce grand cabas imprim en France est fabriqu : Avec 80% de coton bio certifi par le trs srieux label GOTS, fil et peign 285 m2, et 20% de polyester recycl (issu de bouteilles en plastique). De manire quitable labellise par la Fair Wear Foundation. Avec des encres biodgradables l'eau 100% co certifies par l'ECO PASSPORT d'OEKO TEX. Dtails : Format 38 x

Tote-bag ethnique recycl - Respecte ta mer
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SKU: 37445291305

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4.8 ★★★★★
Based on 1247 reviews
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Y. Banga
Los Angeles, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
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
Alexandria, 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
Draper, 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
A
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Amazon User
Grantham, 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
K
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Kyle
Whiting, US
★★★★★ 5
Quadruple BAM.
Format: Paperback
Quadruple BAM. Josh Starmer has done it again at a higher level than ever, making deep learning concepts accessible to absolutely anyone.
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Reviewed in the United States on October 22, 2025

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