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Watership Down 1978 Production Animation Cel of Blackberry with LJE Seal and COA 035-007

Marsoni M251S
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Watership Down 1978 Production Animation Cel of Blackberry with LJE Seal and COA 035-007WATERSHIP DOWN 1978 Original Production Animation Art Cel based on the novel by Richard Adams Complete with a Linda Jones seal and COA! "Watership Down" by Richard Adams was published in 1972. It was originally turned down by many of the big London publishers before a smaller press took it on. The movie was release in 1978 to general acclaim. It's a nice interpretation of a large novel something often difficult to do. The cel measures 12. 5" x 10. 5"
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Battle Creek, US
★★★★★ 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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Rafael Azevedo Souza Costa
Cuba, US
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Great examples and practical explanations
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Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Pawtucket, US
★★★★★ 5
Great for intuitive understanding
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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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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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Lake Worth, US
★★★★★ 5
An Easy Read
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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

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