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Deep Learning:用Python進行深度學習的基礎理論實作
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Deep Learning:用Python進行深度學習的基礎理論實作 
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Item No.:366455 BKTW-0010761759
  
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ISBN: 9789864764846
Author: 斎藤康毅
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作者:斎藤康毅
譯者:吳嘉芳
出版社:歐萊禮
出版日期:2017年08月17日
語言:繁體中文
版別:初版
装订:平裝
页数:284
印刷:單色印刷
分級:普級
ISBN:9789864764846

內容簡介



這是一本深度學習的入門書。不依賴外部函式庫,利用Python3,就能從零開始,實作深度學習,愉快地瞭解深度學習的原理。不僅能幫你打好深度學習及神經網路的基礎,也能讓你徹底學會誤差反向傳播法、卷積神經網路等概念。書中還介紹了決定超參數的方法與權重的預設值等實用技巧、Batch Normalization、Dropout及Adam等最近流行的趨勢、自動駕駛、產生影像、強化學習等應用範例。除此之外,也進一步說明為什麼深度學習如此優秀?為什麼層級愈深,辨識度愈精準?等各種與「為什麼」有關的問題。



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