SKU: 73875785956

SP 1074394003 AFAM Ultraleichtes Aluminiumritzel hinten 11509 - 520 passend fuer HONDA CBR 600 F

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Description

SP 1074394003 AFAM Ultraleichtes Aluminiumritzel hinten 11509 - 520 passend fuer HONDA CBR 600 FSP 1074394003 AFAM Ultraleichtes Aluminiumritzel hinten 11509 520 passend fuer HONDA CBR 600 F 1991 AFAM Alu Kettenrder werden aus einer leichten und widerstandsfhigen Legierung hergestellt. Die Fertigungsqualitt und przision seiner Ritzel macht AFAM zur weltweit anerkannten Referenzmarke in Sachen Motorrad Antriebskomponenten. Alu Kettenrad Racing Ultraleicht und harteloxiert Besonders hohe Abrieb und Verschleifestigkeit Hochwertige Qualitt und

SP 1074394003 AFAM Ultraleichtes Aluminiumritzel hinten 11509 - 520 passend fuer HONDA CBR 600 F 1991

AFAM Alu-Kettenräder werden aus einer leichten und widerstandsfähigen Legierung hergestellt. Die Fertigungsqualität und -präzision seiner Ritzel macht AFAM zur weltweit anerkannten Referenzmarke in Sachen Motorrad-Antriebskomponenten.

  • Alu-Kettenrad Racing
  • Ultraleicht und harteloxiert
  • Besonders hohe Abrieb- und Verschleißfestigkeit
  • Hochwertige Qualität und erstklassiges Finish
  • Im Rennen unerlässlich

- M E R K M A L -

Kettenrad Version: Ultra leicht - hard eloxiert

Kettenteilung: 520

Kettenrad Zahnanzahl: 50

Kettenrad Typ: 11509

Material: Aluminium

passend für:

HONDA CBR 600 F (PC25) 1991
HONDA CBR 600 F (PC25) 1992
HONDA CBR 600 F (PC25) 1993
HONDA CBR 600 F (PC25) 1994
HONDA CBR 600 F (PC31) 1995
HONDA CBR 600 F (PC31) 1996
HONDA CBR 600 F (PC31) 1997
HONDA CBR 600 F (PC31) 1998
HONDA CBR 600 F (PC35) 1999
HONDA CBR 600 F (PC35) 2000
HONDA CBR 650 F (RC74) 2014
HONDA CBR 650 F (RC74) 2015
HONDA CBR 650 F (RC74) 2016
HONDA CBR 650 F ABS (RC74) 2014
HONDA CBR 650 F ABS (RC74) 2015
HONDA CBR 650 F ABS (RC74) 2016
HONDA CBR 650 F ABS (RC96) 2017
HONDA CBR 650 F ABS (RC96) 2018
HONDA CBR 900 RR FIREBLADE (SC33) 1996
HONDA CBR 900 RR FIREBLADE (SC33) 1997
HONDA CBR 900 RR FIREBLADE (SC33) 1998
HONDA CBR 900 RR FIREBLADE (SC33) 1999
HONDA VTR 1000 F FIRESTORM (SC36) 1997
HONDA VTR 1000 F FIRESTORM (SC36) 1998
HONDA VTR 1000 F FIRESTORM (SC36) 1999
HONDA VTR 1000 F FIRESTORM (SC36) 2000
HONDA VTR 1000 F FIRESTORM (SC36) 2001
HONDA VTR 1000 F FIRESTORM (SC36) 2002
HONDA VTR 1000 F FIRESTORM (SC36) 2003
HONDA VTR 1000 F FIRESTORM (SC36) 2004
HONDA VTR 1000 F FIRESTORM (SC36) 2005
HONDA CB 600 F HORNET (PC41) 2007
HONDA CB 600 F HORNET (PC41) 2008
HONDA CB 600 F HORNET (PC41) 2009
HONDA CB 600 F HORNET (PC41) 2010
HONDA CB 600 F HORNET (PC41) 2011
HONDA CB 600 F HORNET (PC41) 2012
HONDA CB 600 F HORNET (PC41) 2013
HONDA CB 600 F HORNET ABS (PC41) 2008
HONDA CB 600 F HORNET ABS (PC41) 2009
HONDA CB 600 F HORNET ABS (PC41) 2010
HONDA CB 600 F HORNET ABS (PC41) 2011
HONDA CB 600 F HORNET ABS (PC41) 2012
HONDA CB 600 F HORNET ABS (PC41) 2013
HONDA CB 900 F HORNET (SC48) 2002
HONDA CB 900 F HORNET (SC48) 2003
HONDA CB 900 F HORNET (SC48) 2004
HONDA CB 900 F HORNET (SC48) 2005
HONDA CB 900 F HORNET (SC48) 2006
YAMAHA YZF-R6 (RJ03) 1999
YAMAHA YZF-R6 (RJ03) 2000
YAMAHA YZF-R6 (RJ03) 2001
YAMAHA YZF-R6 (RJ03) 2002
HONDA CBR 650 F ABS (RC96) 2019
HONDA CB 600 F HORNET ABS (PC41) 2007
HONDA CB 600 F HORNET (PC34) 1998
HONDA CB 600 F HORNET (PC34) 1999
HONDA CB 600 F HORNET (PC34) 2000
HONDA CB 600 F HORNET (PC34) 2001
HONDA CB 600 F HORNET (PC36) 2002
HONDA CB 600 F HORNET (PC36) 2003
HONDA CB 600 F HORNET (PC36) 2004
HONDA CB 600 F HORNET (PC36) 2005
HONDA CB 600 F HORNET (PC36) 2006
HONDA CB 900 F HORNET (SC48) 2007
HONDA CBR 650 R ABS (RH01) 2019
HONDA CBR 650 R ABS (RH01) 2020
HONDA VTR 1000 F FIRESTORM (SC36) 2006
HONDA CBR 650 R ABS (RH01) 2021
HONDA CB 600 F HORNET S (PC34) 2001
HONDA CB 600 F HORNET S (PC34) 2000
HONDA CB 600 F HORNET S (PC36) 2002
HONDA CBR 650 R ABS (RH01) 2022
HONDA CBR 650 R ABS (RH01) 2023
HONDA CBR 650 R 2024

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MrGee
Fort Morgan, 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.
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Reviewed in the United States on August 5, 2021
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R. Cote
West Palm Beach, 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
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Phoenix, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Los Angeles, 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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La Monte HP Yarroll
Natrona Heights, 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.
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Reviewed in the United States on April 13, 2025

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