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Description
Omega Speedmaster 311.30.42.30.99.002 2015 Card Apollo XVII LIMITED Manual 42mmREFERENCE: 311. 30. 42. 30. 99. 002 MODEL: Speedmaster Professional Moonwatch LINKS: MOVEMENT: Manual Winding Serial: Clasp: Condition: Materials: Bracelet: Comments: WARRANTY: 1 Year CONDITION DESCRIPTION: Pre owned WEIGHT: 152. 6g GENDER: Men BRAND: Omega TYPE: Wrist Watch COUNTRY OF MANUFACTURE: Switzerland STYLE: luxury causal CUSTOMIZED: No SERIAL #: 7779xxxx BOX: No PAPERS: Yes BAND COLOR: Steel BAND MATERIAL: Stainless Steel CLASP TYPE: Fold
- REFERENCE: 311.30.42.30.99.002
- MODEL: Speedmaster Professional Moonwatch
- LINKS:
- MOVEMENT: Manual Winding
- Serial:
- Clasp:
- Condition:
- Materials:
- Bracelet:
- Comments:
- WARRANTY: 1 Year
- CONDITION DESCRIPTION: Pre-owned
- WEIGHT: 152.6g
- GENDER: Men
- BRAND: Omega
- TYPE: Wrist Watch
- COUNTRY OF MANUFACTURE: Switzerland
- STYLE: luxury causal
- CUSTOMIZED: No
- SERIAL #: 7779xxxx
- BOX: No
- PAPERS: Yes
- BAND COLOR: Steel
- BAND MATERIAL: Stainless-Steel
- CLASP TYPE: Fold Clasp
- BAND TYPE: Bracelet
- BAND WIDTH: 20mm
- LUG WIDTH: 20mm
- WRIST FIT: 7.25inches
- CROWN: Pull Out
- CRYSTAL: Sapphire 339002025
- CASE MATERIAL: Steel
- CASE COLOR: Steel
- WATER RESISTANCE: waterproof
- WATCH SHAPE: Round
- CASEBACK: Solid
- CASE FINISH: Polished
- CASE SIZE: 42mm
- CASE THICKNESS: 14.7mm
- BEZEL DIAMETER: 42mm
- BEZEL TYPE: Fixed
- BEZEL COLOR: Black
- DIAL COLOR: Silver
- DIAL MARKERS: Chronograph
- DISPLAY: Analog
- INDICES: Index
- MOVEMENT CALIBER:
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4.8 ★★★★★
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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