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Ships within 48 hours · Estimated delivery Jul 30 - Aug 4
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Description
Key Fob / Remote Transmitter for Select Buick Chevrolet Cadillac GMC Saturn VehiclesFCC ID: OUC60270, OUC60221 Remote is Compatible with part numbers: 15912860, 10337867, 20833562, 20935331, 22952176, 850K60270, 850K60221 Programming Notes: Free access to DIY (self) programming Remote programming: One working key is needed to perform DIY programming; otherwise dealership or certified locksmith programming is required For vehicles 2011 or newer, dealership or certified locksmith programming is required Please make sure that your
FCC ID: OUC60270, OUC60221Remote is Compatible with part numbers: 15912860, 10337867, 20833562, 20935331, 22952176, 850K60270, 850K60221
Programming Notes:
Free access to DIY (self) programming
Remote programming: One working key is needed to perform DIY programming; otherwise dealership or certified locksmith programming is required
For vehicles 2011 or newer, dealership or certified locksmith programming is required
Please make sure that your original remote has the same button combination. Also, the part number on your remote must be the same
Your vehicle must be equipped with keyless entry, otherwise this replacement remote will not work
What's included in the package:
1x Brand new complete remote with electronics and battery
Compatibility Guide:
2007-2015 GMC Acadia
2007-2014 GMC Yukon
2008-2015 Buick Enclave
2006-2011 Buick Lucerne
2007-2014 Cadillac Escalade
2007-2008 Cadillac SRX
2006-2011 Cadillac DTS
2007-2010 Saturn Outlook
2007-2014 Chevrolet Tahoe
2006-2013 Chevrolet Impala
2009-2015 Chevrolet Traverse
2007-2014 Chevrolet Suburban
2006-2007 Chevrolet Monte Carlo
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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
4.5 ★★★★★
Based on 25 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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