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Description
The Creative Mind: An Introduction to MetaphysicsThe final published book by Nobel Prize winning author and philosopher Henri Bergson (1859 1941), La pens e et le mouvant (translated here as The Creative Mind), is a masterly autobiography of his philosophical method. Through essays and lectures written between 1903 and 1923, Bergson retraces how and why he became a philosopher, and crafts a fascinating critique of philosophy itself. Until it leaves its false paths, he demonstrates, philosophy will
The final published book by Nobel Prize-winning author and philosopher Henri Bergson (1859-1941), La pens e et le mouvant (translated here as The Creative Mind), is a masterly autobiography of his philosophical method. Through essays and lectures written between 1903 and 1923, Bergson retraces how and why he became a philosopher, and crafts a fascinating critique of philosophy itself. Until it leaves its false paths, he demonstrates, philosophy will remain only a wordy dialectic that surmounts false problems.With masterful skill and intensity, Bergson shows that metaphysics and science must be rooted in experience for philosophy to become a genuine search for truth. And in the quest for unanswered questions, the spiritual dimension of human life and the importance of intuition must be emphasized. A source of inspiration for physicists as well as philosophers, Bergson's introduction to metaphysics reveals a philosophy that is always on the move, blending man's spiritual drive with his mastery of the material world.
Binding Type: Paperback
Publisher: Dover Publications
Published: 06/17/2010
ISBN: 9780486454399
Pages: 224
Weight: 0.54lbs
Size: 8.44h x 5.54w x 0.47d
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4.7 ★★★★★
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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
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