Deep learning shen du xue xi ji chu : she ji xia yi dai ren gong zhi hui yan suan fa = Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
Deep learning 深度學習基礎 : 設計下一代人工智慧演算法 = Fundamentals of deep learning : designing next-generation machine intelligence algorithms /
Detailed summary in vernacular filed.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Chino Inglés |
Publicado: |
[Place of publication not identified] :
GoTop Information, Inc.,
[2018]
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Edición: | [First edition]. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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003 | OCoLC | ||
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050 | 4 | |a TA347.A78 | |
082 | 0 | 4 | |a 006.3/1 |2 23 |
049 | |a UAMI | ||
100 | 1 | |a Buduma, Nikhil, |e author. | |
240 | 1 | 0 | |a Fundamentals of deep learning. |l Chinese |
245 | 1 | 0 | |6 880-01 |a Deep learning shen du xue xi ji chu : |b she ji xia yi dai ren gong zhi hui yan suan fa = Fundamentals of deep learning : designing next-generation machine intelligence algorithms / |c Nikhil Buduma zhu ; Lan Zixuan yi. |
246 | 3 | 1 | |a Fundamentals of deep learning : designing next-generation machine intelligence algorithms |
246 | 3 | |6 880-02 |a Deep learning ji chu | |
250 | |a [First edition]. | ||
264 | 1 | |a [Place of publication not identified] : |b GoTop Information, Inc., |c [2018] | |
300 | |a 1 online resource (304 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
500 | |a Includes index | ||
520 | |6 880-03 |a Detailed summary in vernacular filed. | ||
590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
650 | 0 | |a Artificial intelligence. | |
650 | 0 | |a Machine learning. | |
650 | 0 | |a Neural networks (Computer science) | |
650 | 2 | |a Artificial Intelligence | |
650 | 2 | |a Neural Networks, Computer | |
650 | 2 | |a Machine Learning | |
650 | 6 | |a Intelligence artificielle. | |
650 | 6 | |a Apprentissage automatique. | |
650 | 6 | |a Réseaux neuronaux (Informatique) | |
650 | 7 | |a artificial intelligence. |2 aat | |
650 | 7 | |a Artificial intelligence |2 fast | |
650 | 7 | |a Machine learning |2 fast | |
650 | 7 | |a Neural networks (Computer science) |2 fast | |
700 | 1 | |6 880-04 |a Lan, Zixuan, |e translator. | |
856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9789864768240/?ar |z Texto completo (Requiere registro previo con correo institucional) |
880 | 1 | 0 | |6 245-01/$1 |a Deep learning 深度學習基礎 : |b 設計下一代人工智慧演算法 = Fundamentals of deep learning : designing next-generation machine intelligence algorithms / |c Nikhil Buduma 著 ; 藍子軒 譯. |
880 | 3 | |6 246-02/$1 |a Deep learning 基礎 | |
880 | |6 520-03/$1 |a 深度學習(Deep Learning)如今已成為非常活躍的研究領域,同時也為現代機器學習鋪展了一條康莊大道。本書提供許多範例與清楚的說明,引導讀者進一步了解這個複雜領域中的一些主要概念。 包括Google、微軟和Facebook這樣的業界龍頭,全都在其內部積極發展深度學習團隊。不過對於一般人來說,深度學習仍舊是個相當複雜而困難的主題。如果您熟悉Python,並具備微積分的背景知識,加上對於機器學習的基本理解,本書即可幫助您入門。 .瞭解機器學習和神經網路的基礎知識 .瞭解如何訓練正向饋送神經網路 .用TensorFlow實現你的第一個神經網路 .網路越來越深度時,相關問題的管理 .建立能夠分析複雜圖片的神經網路 .使用自動編碼器進行有效的降維操作 .深入序列分析以處理自然語言 .瞭解強化學習的基礎知識. | ||
880 | 1 | |6 700-04/$1 |a 藍子軒, |e translator. | |
994 | |a 92 |b IZTAP |