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深度學習|內行人的做法
book

深度學習|內行人的做法

by Josh Patterson, Adam Gibson
January 2019
Beginner to intermediate
576 pages
14h 31m
Chinese
GoTop Information, Inc.
Content preview from 深度學習|內行人的做法
6
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第一章:機器學習
螞蟻
白蟻
1
蜜蜂
遺傳演算法
螞蟻聚落(Ant colonies
https://mitpress.mit.edu/books/ant-colony-optimization
的研究為例,研究人員致力於讓電腦能像螞蟻一樣,成為一種強大的去中心化
電腦,這麼一來就沒有任何一隻螞蟻(電腦)會成為失敗的中心點。螞蟻會透
過像是「定量共識主動性(quantitative stigmergy)」這樣的元啟發式(meta-
heuristics)技術,藉由不斷轉換工作的方式,找出接近最佳的負載平衡解決方
案。螞蟻聚落有能力同時執行包括防禦、築巢、搜尋、儲存食物等各項工作,
又可以根據相對需求,讓參與每項工作的工作者維持近乎最佳的數量,而不需
依靠單獨的螞蟻進行直接的協調工作。
什麼是深度學習?
深度學習的定義,對許多人來說是一種挑戰,而在過去十年中,它的樣子也緩慢地逐漸
在改變。其中一種還算有用的定義方式,就是把深度學習定義為「具有兩層以上的神經
網路」。但如果根據這個定義,深度學習似乎從 1980 年代以來就已經存在了。我們認
為,現代神經網路必須在架構上超越早期的網路風格(也就是結合更多的處理能力),
才能展現出近年來的豐碩成果。以下就是現代神經網路經過逐步演化之後其中的一些
面向:
比過去的網路包含更多的神經元
神經網路中的層與層、神經元與神經元之間,連結的方式更加複雜
可用於訓練的計算能力呈現數量級暴增
特徵提取自動化(Automatic feature ...
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Publisher Resources

ISBN: 9789865020262