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Brake Cable - Front - Upper - YamahaCaracteristicas: Cables are nylon lined and use precise OEM component dimensions Meet or exceeds OEM quality Inner nylon sleeve for longer life and smooth operation Peso: 0. 31 Alto: 0. 78 Largo: 7. 87 Ancho: 7. 87 Aditamentos: Blaster 200 4x2 : 1991 1994 1997 2000 1989 2001 1988 1992 1995 1996 1998 1999 2002 1990 1993 Timberwolf 250 4x4 : 2000 1994 1998 1995 1996 1997 1999 Timberwolf 250 4x2 : 1992 1993 1994 1996 1995 Timberwolf 250 U 4x2 : 1998 1996
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Best in 7 days
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Best in 7 days
4.3 ★★★★★
Based on 1652 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
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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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.
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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.
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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.
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Reviewed in the United States on May 7, 2024
