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PUIG 22704D Hinterer Aluminiumständer für konventionelle Schwinge HL1 passend fuer HONDA NT650V DEAUVILLE

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PUIG 22704D Hinterer Aluminiumständer für konventionelle Schwinge HL1 passend fuer HONDA NT650V DEAUVILLEPUIG 22704D Hinterer Aluminiumstnder fr konventionelle Schwinge HL1 passend fuer HONDA NT650V DEAUVILLE 2001 Der Hinterradstnder ist die ideale Lsung fr alle, die Leichtigkeit, Robustheit und maximale Stabilitt beim Anheben ihres Motorrads kombinieren mchten. Sein Premium Design gewhrleistet zuverlssige Leistung sowohl bei Wartungsarbeiten als auch im tglichen Gebrauch. Hergestellt aus Aluminium berzeugt er durch eine ultraleichte Struktur, ohne an

PUIG 22704D Hinterer Aluminiumständer für konventionelle Schwinge HL1 passend fuer HONDA NT650V DEAUVILLE 2001

Der Hinterradständer ist die ideale Lösung für alle, die Leichtigkeit, Robustheit und maximale Stabilität beim Anheben ihres Motorrads kombinieren möchten. Sein Premium-Design gewährleistet zuverlässige Leistung sowohl bei Wartungsarbeiten als auch im täglichen Gebrauch. Hergestellt aus Aluminium überzeugt er durch eine ultraleichte Struktur, ohne an Festigkeit einzubüßen. Er verfügt über in den Ständer integrierte Gummiräder, die das Manövrieren erleichtern und eine sanfte und präzise Bewegung ermöglichen. Er ist so konzipiert, dass jeder Benutzer ihn problemlos montieren kann. Beim Anheben des Motorrads vermittelt der Ständer ein vollkommen sicheres Gefühl: kein Spiel und keine Vibrationen, wodurch jederzeit ein fester und stabiler Halt gewährleistet ist. Der Verstellbereich reicht von 19,5 cm bis 34,5 cm. Ein unverzichtbares Werkzeug für alle, die bei jeder Anwendung Wert auf Qualität, Komfort und Vertrauen legen.

Hinterer Aluminiumständer für konventionelle Schwinge HL1

passend für:

HONDA NT650V DEAUVILLE 2001
HONDA X-ELEVEN 2002
KAWASAKI ER-5 TWISTER 2002
KAWASAKI W650 2004
SUZUKI GSX-R750 2004
SUZUKI RF600R 1993
KAWASAKI ZX-10R 2004
KAWASAKI Z1000 2005
KAWASAKI ZZR1200 2003
KAWASAKI ZR7S 2002
SUZUKI SV1000S 2003
SUZUKI DL1000 V-STROM 2003
SUZUKI DL1000 V-STROM 2004
SUZUKI GSF1200S BANDIT 2005
YAMAHA TDM900 2003
YAMAHA XT660X 2005
DUCATI 999 2005
DUCATI 999S 2005
SUZUKI GSX-R600 2004
HONDA CBF600 2004
DUCATI MONSTER 800 2004
DUCATI MONSTER 1000 2004
DUCATI MONSTER 1000S 2004
DUCATI MONSTER 620 2004
YAMAHA FZ6 FAZER 2004
DUCATI MONSTER 900 2001
KAWASAKI ZX-9R 1994
KAWASAKI ZX-9R 1995
KAWASAKI ZX-9R 1996
KAWASAKI ZX-9R 1997
HONDA CBR600F 2001
HONDA CBR600F 2002
HONDA CBR600F 2003
KAWASAKI ZX-9R 1998
KAWASAKI ZX-9R 1999
KAWASAKI ZX-9R 2000
KAWASAKI ZX-9R 2001
KAWASAKI ZX-9R 2002
HONDA XL650V TRANSALP 2000
HONDA XL650V TRANSALP 2001
HONDA XL650V TRANSALP 2002
HONDA XL650V TRANSALP 2003
HONDA XL650V TRANSALP 2004
HONDA XL650V TRANSALP 2005
YAMAHA FZ6 FAZER 2005
SUZUKI GSX-R600 2005
HONDA CB500 1998
HONDA CBR600F 2004
HONDA CBR600F 2005
HONDA CBR600RR 2003
HONDA CBR600RR 2004
HONDA CBR600RR 2005
KAWASAKI KLE500 2005
KAWASAKI KLV1000 2005
KAWASAKI Z750S 2005
SUZUKI GSF650S BANDIT 2005
SUZUKI GSX-R1000 2005
SUZUKI GSF650 BANDIT 2005
YAMAHA TZR50 2003
YAMAHA TZR50 2004
YAMAHA YZF-R1 2004
YAMAHA YZF-R1 2005
TRIUMPH DAYTONA 600 2004
TRIUMPH DAYTONA 650 2005
BMW F650GS 2004
BMW F650GS 2005
SUZUKI SV1000S 2004
SUZUKI SV1000S 2005
SUZUKI SV650S 2004
SUZUKI SV650S 2005
APRILIA PEGASO STRADA 650 2005
KAWASAKI ZX-6R NINJA 2005
KAWASAKI ZX-10R 2005
YAMAHA YZF-R6 2003
YAMAHA YZF-R6 2004
KAWASAKI ZX-7R 1996
KAWASAKI ZX-7R 1997
KAWASAKI ZX-7R 1998
KAWASAKI ZX-7R 1999
KAWASAKI ZX-7R 2000
KAWASAKI ZX-7R 2001
KAWASAKI ZX-12R 2000
KAWASAKI ZX-12R 2001
KAWASAKI ZX-12R 2002
KAWASAKI ZX-12R 2003
KAWASAKI ZX-12R 2004
SUZUKI TL1000R 1998
SUZUKI TL1000R 1999
YAMAHA YZF 600 R THUNDERCAT 1996
YAMAHA YZF 600 R THUNDERCAT 1997
YAMAHA YZF 600 R THUNDERCAT 1998
YAMAHA YZF 600 R THUNDERCAT 1999
YAMAHA YZF 600 R THUNDERCAT 2000
YAMAHA YZF 600 R THUNDERCAT 2001
YAMAHA YZF 600 R THUNDERCAT 2002
YAMAHA YZF-R1 2002
YAMAHA YZF-R1 2003
HONDA VTR1000F FIRE STORM 1997
HONDA VTR1000F FIRE STORM 1998
HONDA VTR1000F FIRE STORM 1999
HONDA VTR1000F FIRE STORM 2000
HONDA VTR1000F FIRE STORM 2001
HONDA VTR1000F FIRE STORM 2002
HONDA VTR1000F FIRE STORM 2003
HONDA VTR1000F FIRE STORM 2004
KAWASAKI ZRX1200R 2001
KAWASAKI ZRX1200R 2002
KAWASAKI ZRX1200R 2003
KAWASAKI ZRX1200R 2004
SUZUKI GSX-R1300 HAYABUSA 1999
SUZUKI GSX-R1300 HAYABUSA 2000
SUZUKI GSX-R1300 HAYABUSA 2001
SUZUKI GSX-R1300 HAYABUSA 2002
SUZUKI GSX-R1300 HAYABUSA 2004
SUZUKI GSX-R1300 HAYABUSA 2003
HONDA CB1300 2004
HONDA CB1300 2005
HONDA CB500 1995
HONDA CB500 1996
HONDA CB500 1997
HONDA CB500 1999
HONDA CB500 2000
HONDA CB500 2001
HONDA CB500 2002
HONDA CB500 2003
HONDA CB500 2004
HONDA CB600F HORNET 1998
HONDA CB600F HORNET 1999
HONDA CB600F HORNET 2000
HONDA CB600F HORNET 2001
HONDA CB600F HORNET 2002
HONDA CB600F HORNET 2003
HONDA CB600F HORNET 2004
HONDA CB600F HORNET 2005
HONDA CB600S HORNET 2000
HONDA CB600S HORNET 2001
HONDA CB600S HORNET 2002
HONDA CB900F HORNET 2002
HONDA CB900F HORNET 2003
HONDA CB900F HORNET 2004
HONDA CB900F HORNET 2005
HONDA CBF500 2004
HONDA CBF500 2005
HONDA CBF600 2005
HONDA CBR1000RR FIREBLADE 2004
HONDA CBR1000RR FIREBLADE 2005
HONDA CBR1100XX BLACKBIRD 1997
HONDA CBR1100XX BLACKBIRD 1998
HONDA CBR1100XX BLACKBIRD 1999
HONDA CBR1100XX BLACKBIRD 2000
HONDA CBR1100XX BLACKBIRD 2001
HONDA CBR1100XX BLACKBIRD 2002
HONDA CBR1100XX BLACKBIRD 2003
HONDA CBR1100XX BLACKBIRD 2004
HONDA CBR1100XX BLACKBIRD 2005
KAWASAKI ZX-6R NINJA 2001
KAWASAKI ZX-6R NINJA 2002
KAWASAKI ZX-6R NINJA 2003
KAWASAKI ZX-6R NINJA 2004
KAWASAKI ZRX1200S 2001
KAWASAKI ZRX1200S 2002
KAWASAKI ZRX1200S 2003
KAWASAKI ZRX1200S 2004
YAMAHA FZS600 FAZER 2002
YAMAHA FZS600 FAZER 2003
YAMAHA FZS1000 FAZER 2002
YAMAHA FZS1000 FAZER 2003
YAMAHA FZS1000 FAZER 2004
BMW F650 ST 1997
BMW F650 ST 1998
BMW F650 ST 1999
BMW F650 ST 2000
YAMAHA FZS1000 FAZER 2001
SUZUKI GSF1200S BANDIT 2002
SUZUKI GSF1200S BANDIT 2003
SUZUKI GSF1200S BANDIT 2004
SUZUKI GSF1200S BANDIT 2001
SUZUKI GSF600S BANDIT 2000
SUZUKI GSF600S BANDIT 2001
SUZUKI GSF600S BANDIT 2002
SUZUKI GSF600S BANDIT 2003
SUZUKI GSX-R1000 2001
SUZUKI GSX-R1000 2002
SUZUKI GSX-R1000 2003
SUZUKI GSX-R1000 2004
SUZUKI GSX-R600 1998
SUZUKI GSX-R600 1999
SUZUKI GSX-R600 2000
SUZUKI GSX-R600 2001
SUZUKI GSX-R600 2002
SUZUKI GSX-R600 2003
SUZUKI GSX-R750 2000
SUZUKI GSX-R750 2001
SUZUKI GSX-R750 2002
SUZUKI GSX-R750 2003
SUZUKI GSX-R750 2005
SUZUKI DL1000 V-STROM 2005
KAWASAKI ZX-9R 2003
YAMAHA YZF-R6 2005
KAWASAKI Z1000 2003
KAWASAKI Z1000 2004
KAWASAKI ZR7S 2003
KAWASAKI ZRX1200R 2005
KAWASAKI ZX-12R 2005
KAWASAKI ZXR400 1991
KAWASAKI ZXR400 1992
KAWASAKI ZXR400 1993
KAWASAKI ZXR400 1994
KAWASAKI ZXR400 1995
KAWASAKI ZZR1100 1993
KAWASAKI ZZR1100 1994
KAWASAKI ZZR1100 1995
KAWASAKI ZZR1100 1996
KAWASAKI ZZR1100 1997
KAWASAKI ZZR1100 1998
KAWASAKI ZZR1100 1999
KAWASAKI ZZR1100 2000
KAWASAKI ZZR1100 2001
KAWASAKI ZZR1200 2004
KAWASAKI ZZR1200 2005
KAWASAKI ZZR600 1993
KAWASAKI ZZR600 1994
KAWASAKI ZZR600 1995
KAWASAKI ZZR600 1996
KAWASAKI ZZR600 1997
KAWASAKI ZZR600 1998
KAWASAKI ZZR600 1999
KAWASAKI ZZR600 2000
KAWASAKI ZZR600 2001
KAWASAKI ZZR600 2002
KAWASAKI ZZR600 2003
KAWASAKI ZZR600 2004
KAWASAKI ZZR600 2005
HONDA XRV750 AFRICA TWIN 1996
HONDA XRV750 AFRICA TWIN 1997
HONDA XRV750 AFRICA TWIN 1998
HONDA XRV750 AFRICA TWIN 1999
HONDA XRV750 AFRICA TWIN 2000
HONDA XRV750 AFRICA TWIN 2001
HONDA XRV750 AFRICA TWIN 2002
HONDA XRV750 AFRICA TWIN 2003
HONDA XL1000V VARADERO 2001
HONDA XL1000V VARADERO 2002
HONDA XL1000V VARADERO 2003
HONDA XL1000V VARADERO 2004
HONDA XL1000V VARADERO 2005
HONDA VFR800 2002
HONDA VFR800 2003
HONDA VFR800 2004
HONDA VFR800 2005
HONDA VTR1000 SP-1 2000
HONDA VTR1000 SP-1 2001
HONDA VTR1000 SP-2 2002
HONDA VTR1000 SP-2 2003
HONDA VTR1000 SP-2 2004
HONDA VTR1000 SP-2 2005
YAMAHA TDM900 2004
YAMAHA TDM900 2005
SUZUKI SV650S 2003
APRILIA RS 250 1999
APRILIA RS 250 2000
APRILIA RS 250 2001
APRILIA RSV1000 MILLE 2002
APRILIA RSV1000 MILLE 2003
APRILIA RSV1000 R MILLE 2001
APRILIA RSV1000 R MILLE 2002
DUCATI MONSTER 1000 2005
DUCATI MONSTER 1000S 2005
DUCATI MONSTER 620 2003
DUCATI MONSTER 620 2005
SUZUKI GSX-R1300 HAYABUSA 2005
YAMAHA FZ750 1990
YAMAHA FZ750 1991
YAMAHA FZ750 1992
YAMAHA FZ750 1993
YAMAHA FZ750 1994
HONDA NT650V DEAUVILLE 2002
HONDA NT650V DEAUVILLE 2003
HONDA NT650V DEAUVILLE 2004
HONDA NT650V DEAUVILLE 2005
KAWASAKI ER-5 TWISTER 2003
KAWASAKI ER-5 TWISTER 2004
KAWASAKI ER-5 TWISTER 2005
YAMAHA FZS1000 FAZER 2005
SUZUKI GS500F 2004
SUZUKI GS500F 2005
HONDA CBF250 2004
HONDA CBF250 2005
HONDA CBR1000RR FIREBLADE 2006
KAWASAKI ZX-10R 2006
SUZUKI GSX-R600 2006
SUZUKI GSX-R750 2006
KAWASAKI ZZR1400 2006
YAMAHA YZF-R6 2006
HONDA CBF1000 2006
KAWASAKI ER-6N 2006
HONDA CB1300 2006
YAMAHA FZ1 FAZER 2006
SUZUKI GSR600 2006
HONDA CBR600F 2006
HONDA CBR600RR 2006
HONDA CBR1100XX BLACKBIRD 2006
HONDA XL650V TRANSALP 2006
HONDA XL1000V VARADERO 2006
HONDA VFR800 2006
HONDA VTR1000F FIRE STORM 2006
KAWASAKI KLE500 2006
KAWASAKI ZX-6R NINJA 2006
KAWASAKI ZX-12R 2006
KAWASAKI ZRX1200R 2006
SUZUKI DL1000 V-STROM 2006
SUZUKI GSF650S BANDIT 2006
SUZUKI GSF1200S BANDIT 2006
SUZUKI GSX-R1000 2006
SUZUKI SV650S 2006
YAMAHA FJR1300A 2006
YAMAHA FZ6 FAZER 2006
YAMAHA FZ6 2005
YAMAHA FZ6 2006
YAMAHA MT-03 2006
YAMAHA TDM900 2006
YAMAHA TZR50 2005
YAMAHA TZR50 2006
YAMAHA YZF-R1 2006
APRILIA RS125 2006
BMW F650GS 2006
DUCATI 999 2006
DUCATI 999S 2006
DUCATI 999R 2006
TRIUMPH DAYTONA 675 2006
HYOSUNG GT650R 2006
SUZUKI GSF650 BANDIT 2006
HONDA CBF500 2006
HONDA CBF600 2006
KAWASAKI ER-5 TWISTER 2006
KAWASAKI W650 2005
KAWASAKI W650 2006
HONDA CB1300 2003
DUCATI MONSTER 620 2006
KAWASAKI Z1000 2006
KAWASAKI Z750S 2006
SUZUKI GS500F 2006
SUZUKI GSX-R1300 HAYABUSA 2006
APRILIA PEGASO STRADA 650 2006
HONDA NT700V DEAUVILLE 2006
DUCATI 999R 2005
YAMAHA XT660X 2006
HONDA CBF600S 2006
HONDA CB1300S 2006
KAWASAKI Z1000 2007
KAWASAKI Z750 2007
KAWASAKI ZX-6R NINJA 2007
KAWASAKI VERSYS 650 2007
KAWASAKI ZX-10R 2007
KAWASAKI ER-6N 2007
KAWASAKI ER-6F 2007
HONDA CB600F HORNET 2007
HONDA CBR600RR 2007
HONDA CBR125R 2007
HONDA CBR1000RR FIREBLADE 2007
HONDA VFR800 2007
HONDA NT700V DEAUVILLE 2007
HONDA CBF1000 2007
HONDA CBF600 2007
HONDA CBF600S 2007
HONDA CBF500 2007
HONDA XL1000V VARADERO 2007
HONDA XL650V TRANSALP 2007
YAMAHA YZF-R1 2007
YAMAHA MT-03 2007
YAMAHA YZF-R6 2007
YAMAHA FJR1300A 2007
YAMAHA FJR1300AS 2007
YAMAHA FZ1 FAZER 2007
SUZUKI GSX-R1000 2007
SUZUKI GSF1250 BANDIT 2007
SUZUKI GSF650 BANDIT 2007
SUZUKI GSX-R1300 HAYABUSA 2007
SUZUKI GSX-R600 2007
SUZUKI GSX-R750 2007
SUZUKI GS500F 2007
SUZUKI GSR600 2007
YAMAHA TDM900 2007
YAMAHA XT660X 2007
HONDA CBR600F 2007
HONDA CBR1100XX BLACKBIRD 2007
HONDA CB1300 2007
HONDA XL125V VARADERO 2007
KAWASAKI ZZR1400 2007
TRIUMPH TIGER 1050 2007
KAWASAKI KLE500 2007
SUZUKI DL1000 V-STROM 2007
YAMAHA FZ6 FAZER S2 2007
YAMAHA TZR50 2007
BMW F650GS 2007
APRILIA RS125 2007
APRILIA PEGASO STRADA 650 2007
HYOSUNG GT650R 2007
KTM 990 SUPERDUKE 2008
HONDA CB1300S 2007
HONDA CB1300S 2008
YAMAHA FZ6 2007
HONDA CBF1000 2008
HONDA CBF600 2008
HONDA CBF600S 2008
HONDA CBR125R 2008
HONDA CBF600S 2004
HONDA CBF600S 2005
HONDA CBR600RR 2008
HONDA CBR1000RR FIREBLADE 2008
HONDA ST1100 PAN EUROPEAN 1995
HONDA ST1100 PAN EUROPEAN 1996
HONDA ST1100 PAN EUROPEAN 1997
HONDA ST1100 PAN EUROPEAN 1998
HONDA ST1100 PAN EUROPEAN 1999
HONDA ST1100 PAN EUROPEAN 2000
HONDA ST1100 PAN EUROPEAN 2001
HONDA XL700V TRANSALP 2008
KAWASAKI GTR1400 2007
KAWASAKI GTR1400 2008
KAWASAKI NINJA 250R 2008
KAWASAKI ZX-10R 2008
SUZUKI GSX650F 2008
SUZUKI GSX-R600 2008
SUZUKI GSX-R750 2008
SUZUKI GSX-R1300 HAYABUSA 2008
YAMAHA XT660Z TENERE 2008
YAMAHA YZF-R125 2008
YAMAHA YZF-R6 2008
BMW F650GS 2008
BMW F800GS 2008
KAWASAKI ZX-6R NINJA 2008
KAWASAKI Z1000 2008
KAWASAKI Z750 2008
HONDA XL125V VARADERO 2008
HONDA XL1000V VARADERO 2008
HONDA XL1000V VARADERO 1999
HONDA XL1000V VARADERO 2000
KAWASAKI VERSYS 650 2008
HONDA VFR800 2008
SUZUKI GSX-R1000 2008
KAWASAKI ER-6F 2008
KAWASAKI ER-6N 2008
YAMAHA FZ6 FAZER S2 2008
YAMAHA YZF-R1 2008
YAMAHA FZ1 FAZER 2008
DUCATI MONSTER 696 2008
SUZUKI B-KING 2008
SUZUKI GSR600 2008
KAWASAKI ZR7S 2001
TRIUMPH STREET TRIPLE 2008
KTM 990 SUPERDUKE R 2008
TRIUMPH DAYTONA 675 2007
TRIUMPH DAYTONA 675 2008
KAWASAKI ZZR1200 2002
KAWASAKI ZZR1400 2008
SUZUKI DL1000 V-STROM 2002
YAMAHA MT-03 2008
SUZUKI GSF1250S BANDIT 2007
SUZUKI GSF1250S BANDIT 2008
SUZUKI GSF650 BANDIT 2008
SUZUKI GSF1250 BANDIT 2008
SUZUKI RF600R 1994
SUZUKI RF600R 1995
SUZUKI RF600R 1996
SUZUKI RF600R 1997
SUZUKI RF900R 1994
SUZUKI RF900R 1995
SUZUKI RF900R 1996
SUZUKI RF900R 1997
YAMAHA FJR1300AS 2006
YAMAHA FZ750 1987
YAMAHA FZ750 1988
YAMAHA FZ750 1989
YAMAHA TDM900 2002
YAMAHA TDM900 2008
YAMAHA XT660X 2004
YAMAHA XT660X 2008
HONDA CB600F HORNET 2006
HONDA CB600F HORNET 2008
APRILIA RS125 2008
HYOSUNG GT650R 2005
HYOSUNG GT650R 2008
APRILIA TUONO 1000R 2006
APRILIA TUONO 1000R 2008
APRILIA PEGASO STRADA 650 2008
TRIUMPH TIGER 1050 2008
DUCATI MONSTER 600 1998
DUCATI MONSTER 600 2000
DUCATI MONSTER 600 1999
DUCATI MONSTER 600 2001
DUCATI MONSTER 620 2002
DUCATI MONSTER 696 2009
YAMAHA FZ6 2004
HONDA CB1300 2008
HONDA CBF250 2006
HONDA CBF250 2007
HONDA CBF250 2008
YAMAHA FJR1300A 2008
HONDA X-ELEVEN 2003
YAMAHA FZ6 2008
KTM 990 SUPERDUKE 2009
SUZUKI B-KING 2009
HONDA CB1300 2009
HONDA CB1300S 2009
HONDA CB600F HORNET 2009
HONDA CBF1000 2009
HONDA CBF250 2009
HONDA CBF600 2009
HONDA CBF600S 2009
HONDA CBR1000RR FIREBLADE 2009
HONDA CBR125R 2009
HONDA CBR600RR 2009
TRIUMPH DAYTONA 675 2009
HONDA NT700V DEAUVILLE 2008
HONDA NT700V DEAUVILLE 2009
KAWASAKI ER-6F 2009
KAWASAKI ER-6N 2009
BMW F800GS 2009
BMW F650GS 2009
YAMAHA FJR1300A 2009
YAMAHA FZ1 FAZER 2009
YAMAHA FZ6 S2 2009
YAMAHA FZ6 FAZER S2 2009
SUZUKI GSF1250S BANDIT 2009
SUZUKI GSF1250 BANDIT 2009
SUZUKI GSF650 BANDIT 2009
SUZUKI GSR600 2009
SUZUKI GSX650F 2009
SUZUKI GSX-R1000 2009
SUZUKI GSX-R1300 HAYABUSA 2009
SUZUKI GSX-R750 2009
SUZUKI GSX-R600 2009
HYOSUNG GT650R 2009
KAWASAKI GTR1400 2009
YAMAHA MT-03 2009
KAWASAKI NINJA 250R 2009
APRILIA PEGASO STRADA 650 2009
APRILIA RS125 2009
TRIUMPH STREET TRIPLE 2009
YAMAHA TDM900 2009
TRIUMPH TIGER 1050 2009
HONDA XL700V TRANSALP 2009
APRILIA TUONO 1000R 2009
HONDA XL125V VARADERO 2009
HONDA XL1000V VARADERO 2009
KAWASAKI VERSYS 650 2009
HONDA VFR800 2009
YAMAHA XT660X 2009
YAMAHA YZF-R6 2009
YAMAHA YZF-R1 2009
YAMAHA YZF-R125 2009
KAWASAKI Z1000 2009
KAWASAKI Z750 2009
KAWASAKI ZX-10R 2009
KAWASAKI ZX-6R NINJA 2009
KAWASAKI ZZR1400 2009
HONDA CBF125 2009
SUZUKI SFV650 GLADIUS 2009
YAMAHA XJ6 2009
YAMAHA XJ6 DIVERSION 2009
APRILIA DORSODURO 750 2009
APRILIA MANA 850 2008
APRILIA MANA 850 2009
APRILIA RSV4 2009
BMW F800R 2009
KTM 690 DUKE 2009
KTM 950 SUPERENDURO 2009
KTM 990 SUPERMOTO T 2009
KTM 1190 RC8 2009
DUCATI MONSTER 695 2006
DUCATI MONSTER 695 2007
DUCATI GT1000 2008
DUCATI GT1000 2009
HONDA NT650V DEAUVILLE 1998
HONDA NT650V DEAUVILLE 1999
HONDA NT650V DEAUVILLE 2000
YAMAHA XT660Z TENERE 2009
DUCATI MONSTER 696 2010
HONDA CBF600 2010
HONDA CBF1000 2010
HONDA CB600F HORNET 2010
KAWASAKI ER-6N 2010
KAWASAKI VERSYS 650 2010
KAWASAKI Z750 2010
KAWASAKI Z1000 2010
KAWASAKI ZX-10R 2010
SUZUKI B-KING 2010
SUZUKI GSR600 2010
SUZUKI GSX-R600 2010
SUZUKI GSX-R750 2010
SUZUKI GSX-R1000 2010
YAMAHA FZ6 S2 2010
YAMAHA FZ6 FAZER S2 2010
YAMAHA FZ1 FAZER 2010
YAMAHA XJ6 2010
YAMAHA XJ6 DIVERSION 2010
YAMAHA YZF-R6 2010
YAMAHA XJ6 DIVERSION F 2010
APRILIA DORSODURO 750 2010
APRILIA MANA 850 2010
BMW F800R 2010
KTM 690 DUKE 2010
KTM 990 SUPERDUKE 2007
KTM 990 SUPERDUKE 2010
SUZUKI SFV650 GLADIUS 2010
SUZUKI GSF650 BANDIT 2010
TRIUMPH STREET TRIPLE 2010
YAMAHA MT-03 2010
SUZUKI GSF1250 BANDIT 2010
APRILIA RS125 2010
APRILIA RSV4 2010
APRILIA TUONO 1000R 2010
BMW S1000RR 2009
BMW S1000RR 2010
KTM 1190 RC8 2010
TRIUMPH DAYTONA 675 2010
BMW F650GS 2010
BMW F800GS 2010
TRIUMPH TIGER 1050 2010
APRILIA SHIVER 750 2010
HONDA CBF600S 2010
HONDA CB1300S 2010
HONDA CBR600RR 2010
HONDA CBR1000RR FIREBLADE 2010
HONDA XL1000V VARADERO 2010
HONDA CBF125 2010
HONDA CBR125R 2010
HONDA VFR1200F 2010
HONDA NT700V DEAUVILLE 2010
HONDA XL125V VARADERO 2010
HONDA XL700V TRANSALP 2010
KAWASAKI ZX-6R NINJA 2010
KAWASAKI ZZR1400 2010
KAWASAKI ER-6F 2010
KAWASAKI NINJA 250R 2010
KAWASAKI GTR1400 2010
SUZUKI GSX650F 2010
SUZUKI GSX-R1300 HAYABUSA 2010

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4.8 ★★★★★
Based on 26 reviews
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Cuba, US
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier. Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas. However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon). As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful. Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics). I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book. In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
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Zygerian99
Belleville, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Los Angeles, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Charlottesville, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
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Adam
Belleville, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026

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