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Description
Transponder Key for Select Ford VehiclesFCC ID: H84 PT Compatible with part numbers: H92 PT, 691259, 599114, 5913441, 599179, 164 R8040, 164 R0463 Replaces Chip: 4D 63 80 BIT Programming Notes: Free access to DIY (self) programming; however 2 original master keys are needed to perform DIY programming. If only one or none available then dealership programming is required This key cannot be cloned Attention: We noticed that some 2012 vehicles use 2 different key blades. Please make sure to
FCC ID: H84-PTCompatible with part numbers: H92-PT, 691259, 599114, 5913441, 599179, 164-R8040, 164-R0463
Replaces Chip: 4D-63 80 BIT
Programming Notes:
Free access to DIY (self) programming; however 2 original master keys
are needed to perform DIY programming. If only one or none available then dealership programming is required
This key cannot be cloned
Attention: We noticed that some 2012 vehicles use 2 different key blades. Please make sure to match your original
key blade with our photo on eBay
What's included in the package:
1x Brand new uncut 80 Bit Key
Compatibility Guide:
2003-2011 Ford Crown Victoria
2008-2015 Ford E150 E250 E350
2007-2015 Ford Edge
2005-2012 Ford Escape
2003-2016 Ford Expedition
2001-2010 Ford Explorer Sport Trac
2000-2015 Ford Explorer
2004-2016 Ford F150 F250 F350
2005-2007 Ford Five Hundred
2009-2015 Ford Flex
2006-2012 Ford Focus
2004-2007 Ford Freestar
2005-2007 Ford Freestyle
2006-2012 Ford Fusion
2005-2014 Ford Mustang
2001-2012 Ford Ranger
2000-2016 Ford Taurus
2008-2009 Ford Taurus X
2003-2005 Ford Thunderbird
2001-2003 Ford Windstar
2003-2005 Lincoln Aviator
2003-2006 Lincoln LS
2006-2014 Lincoln Mark LT
2009-2013 Lincoln MKS
2010-2012 Lincoln MKT
2007-2013 Lincoln MKX
2007-2016 Lincoln MKZ
2003-2015 Lincoln Navigator
2003-2011 Lincoln Town Car
2006-2009 Lincoln Zephyr
2001-2010 Mazda B-Series
2007-2011 Mazda Tribute
2003-2011 Mercury Grand Marquis
2003-2004 Mercury Marauder
2005-2011 Mercury Mariner
2006-2011 Mercury Milan
2005-2007 Mercury Montego
2004-2007 Mercury Monterey
2000-2010 Mercury Mountaineer
2000-2010 Mercury Sable
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.7 ★★★★★
Based on 11 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
★★★★★ 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
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024
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