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書名：NEURAL NETWORKS & LEARNING MACHINES 3/E 作者：HAYKIN 出版社：PEARSON 出版日期：2009/00/00 ISBN：9780131293762
| 書名: | NEURAL NETWORKS & LEARNING MACHINES (3版) | |||
| 作者: | HAYKIN | |||
| 版次: | 3 | |||
| ISBN: | 9780131293762 | |||
| 出版社: | Pearson | |||
| 出版日期: | 2009/04 | |||
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#資訊
#工程 #電子與電機 #控制系統 #自動化與機器人技術 #AI人工智慧與機器學習 #生物工程 |
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| 售價: | 1042元 | |||
| 庫存: | 已售完 | |||
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NEURAL NETWORKS & LEARNING MACHINES (3版)
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詳細資訊
書名：NEURAL NETWORKS & LEARNING MACHINES 3/E 作者：HAYKIN 出版社：PEARSON 出版日期：2009/00/00 ISBN：9780131293762
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This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.
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