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Description
LCD Digital Vernier Caliper/Micrometer, Measure Range: 150 mm (6 inch), 150 mm Vernier CaliperAbout the product 1. 100% brand new and high quality 2. Measurement in both SAE (inch) or Metric (mm) with conversion 3. Zero setting in any position 4. Measurement types: internal dimension, external dimension, depth and steps 5. Made of high quality hardened stainless steel 6. Large LCD display 7. With a small locking thumb screw which locks the jaws in place 8. Automatic turn off function 9. Measure range: 0 6 inch (0 150mm) 10. Resolution: 0. 0005
About the product1. 100% brand new and high quality
2. Measurement in both SAE (inch) or Metric (mm) with conversion
3. Zero setting in any position
4. Measurement types: internal dimension, external dimension, depth and steps
5. Made of high quality hardened stainless steel
6. Large LCD display
7. With a small locking thumb screw which locks the jaws in place
8. Automatic turn-off function
9. Measure range: 0 - 6 inch (0 - 150mm)
10. Resolution: 0.0005 inch /0.01mm
11. Accuracy: 0.001 inch /0.02mm (< 4 inch /100mm measurement)
12. Repeatability: 0.0005 inch/0.01mm
13. Maximum measuring speed: 60 inch (1500mm)/sec.
14. Measuring system: linear capacitive
15. Working temperature: 0- 40C
16. Power: One 1.5V LR44 button Cell or One 1.55V SR44 button cell(one included)
Note: Accuracy affected in enviroment exceeding 80% relative humidity
Specification:
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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]
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4.6 ★★★★★
Based on 14 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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