28" Herren Gravel Fahrrad Storm 3.0 Shimano 2x8 Claris R2000 + Sora RD-R3000-GS Blau Matt

Marsoni

M251S

$324.50

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

28" Herren Gravel Fahrrad Storm 3.0 Shimano 2x8 Claris R2000 + Sora RD-R3000-GS Blau MattHERREN GRAVEL FAHRRAD 28" ZOLL STORM 3. 0 SHIMANO CLARIS R2000 + SORA RD R3000 GS Wenn Du auf der Suche nach einem Gravelbike bist und keinen Rennradlenker (auch bekannt als Dropbar) magst, ist der DRAG Strom fr Dich genau passend! Der DRAG Strom 3. 0 ist ein Urbanbike mit einer 2x8 Rennrad Schaltung, die Shimano Claris R2000. Hierbei bieten die 11 32 Zhne Kassette und der 48 32 Zhne Kurbel eine gute bersetzung fr lngere Steigungen und flotten

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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

Omaha, 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

New York, 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