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Description
Supporto Bar Fly Race MTBIl Supporto Bar Fly Race MTB un supporto in alluminio per MTB, CX e ciclisti che cercano una soluzione di montaggio sopra allattacco manubrio. Il supporto RACE MTB si monta sul lato sinistro del manubrio, senza entrare in conflitto con i display Di2. La staffa di prolunga inclusa si monta sul morsetto del supporto ed compatibile con GoPro. Caratteristiche: Per pieghe manubrio da 35mm e 31. 8mm, spessori inclusi Accoglie 2 dispositivi simultaneamente:
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Best in 7 days
Best in 7 days
Best in 7 days
Best in 7 days
4.2 ★★★★★
Based on 2035 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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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