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For Your Every Summer RSVP, with Code: SUMMER15
Description
Edge Products 14105-3 Revolver & Insight CTS3 Performance KitShop at GAP and purchase the Edge Products 14105 3 Revolver & Insight CTS3 Performance Kit for your 1999. 5 2001 Ford 7. 3L Powerstroke. Exhaust Gas Temperature Probe (EGT) Probe required to read EGT's. This product is not intended for use on Vans or trucks with California emissions. WARRANTY INFO: 1 Year Shipping Restrictions Apply This product can not be shipped to these states provinces: CA Note: Box Codes: Edge Products has made it so you can
Shop at GAP and purchase the Edge Products 14105-3 Revolver & Insight CTS3 Performance Kit for your 1999.5-2001 Ford 7.3L Powerstroke.
Exhaust Gas Temperature Probe (EGT) Probe required to read EGT's.
This product is not intended for use on Vans or trucks with California emissions.
Exhaust Gas Temperature Probe (EGT) Probe required to read EGT's.
This product is not intended for use on Vans or trucks with California emissions.
WARRANTY INFO:
1 Year
Note:
Box Codes: Edge Products has made it so you can easily purchase a chip for your truck using your model year and transmission. If you'd like to check your Box Code, you can find it using the following information. On your ECU, there will be a large 4 Digit Code that is 3 letters and 1 number. These ECU Codes identify what ECU is in your truck, and they come in groups. Some examples might be NVK2 and NVK4, which share the same tunes which would have the same Box Code, but have different ECM codes
1999-2003: Your ECU will be located behind the Drivers Side Kick Panel.
1995-1998: Your ECU will be located behind the Passengers Side Kick Panel.
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
4.7 ★★★★★
Based on 6 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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