SKU: 65792805548

microshift xcd 11v toerentalregeling rechts

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Description

microshift xcd 11v toerentalregeling rechtsDe MICROSHIFT XCD Xpress Plus SL M861R 11V rechtshandige shifter is ontworpen voor 111 enkelschakelversnellingen en biedt nauwkeurige en intutieve controle. De vlakke ergonomie van het stuur zorgt voor een natuurlijke grip, met een aparte trekker voor de wijsvinger en duim, wat het schakelen gemakkelijker maakt. De Xpress Plus technologie zorgt voor betrouwbare, consistente indexering. Robuuste interne componenten zorgen voor een uitstekende

De MICROSHIFT XCD Xpress Plus SL-M861R 11V rechtshandige shifter is ontworpen voor 1×11 enkelschakelversnellingen en biedt nauwkeurige en intuïtieve controle. De vlakke ergonomie van het stuur zorgt voor een natuurlijke grip, met een aparte trekker voor de wijsvinger en duim, wat het schakelen gemakkelijker maakt.

De Xpress Plus-technologie zorgt voor betrouwbare, consistente indexering. Robuuste interne componenten zorgen voor een uitstekende duurzaamheid, zelfs in veeleisende omstandigheden, voor een soepele, gecontroleerde werking, elke keer weer.

De XCD Xpress Plus SL-M861R 11V is voorzien van een afgedicht lagermechanisme en biedt een soepele, schone en consistente werking, wat bijdraagt aan een hoogwaardige, betrouwbare transmissie op de lange termijn.

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SKU: 65792805548

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4.3 ★★★★★
Based on 28 reviews
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Verified Purchase
MrGee
Chelsea, 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
Phoenix, 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
Omaha, 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
Chelsea, 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
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Verified Purchase
La Monte HP Yarroll
Grantham, 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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