SKU: 62802234339

Нарцис і Ґольдмунд. Narcissus And Goldmund

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Нарцис і Ґольдмунд. Narcissus And Goldmund. Narcissus And Goldmund (1877 1962) , , , 1946 . '' . : ' ', '', ''. ' ' 1930 . ' '. : , , , , . , . : ', , SPECIFICATIONS: Author: Hermann Hesse Publisher: Language: Ukrainian Publication Date: 2017 Number of pages: 384 pst Format: Hardcover Width: 110 mm 4,3' Height: 170 mm 6,7' Weight: 280 g ISBN: 9789660376021,9789660350830

Нарцис і Ґольдмунд. Narcissus And Goldmund

Герман Гессе (1877-1962) - видатний німецький прозаїк, поет, есеїст, лауреат Нобелівської премії з літератури 1946 р. У видавництві 'Фоліо' побачили світ книжки Г. Гессе: 'Степовий вовк', 'Деміан', 'Сіддхартха'.

Роман 'Нарцис і Ґольдмунд' вийшов друком 1930 року. Це філософська оповідь про 'втечу і повернення блудного сина'. В основі роману - протистояння двох героїв: Нарциса, вченого-богослова, який присвятив себе служінню Богу та наукам, та його ученика Ґольдмунда, який є втіленням наївності та безпосередності.І Нарцис, і сластолюбний красунчик Ґольдмунд намагаються розгадати таїну буття і віднайти сенс життя. Тільки засоби у них різні: Нарцис філософствує над працями грецьких мудреців і вивчає богослов'я, а Ґольдмунд іде по життю, керуючись лише власними пристрастями та інтуїцією...

SPECIFICATIONS:

Author:Hermann Hesse - Герман Гессе

Publisher:Фолио

Language:Ukrainian/Українська

Publication Date:2017

Number of pages:384 pst

Format:Hardcover

Width:110 mm / 4,3'

Height:170 mm / 6,7'

Weight:280 g

ISBN:9789660376021,9789660350830

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SKU: 62802234339

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Before GPT can chat, it has to learn.
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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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Excellent book. Highly recommend
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Thomas
Port Orchard, US
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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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La Monte HP Yarroll
Carnegie, US
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Taught me backpropagation
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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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3rd Act
Chelsea, US
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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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