原題最短コースでわかる　ディープラーニングの数学

Masanori Akaishi

科學
出版社
Nikkei Business Publications, Inc. [Agt. JCA]
外部識別碼
  • ISBN:9784296102501
出版日期
2019-04-15
報價截止日
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頁數
344
作品的出版語言
日語
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讓我們打開AI黑盒子吧！ 你可以在「最短的課程」中學到理解深度學習本質所必需的「數學」！ 這本書將幫助您「真正」理解「深度學習」的運作原理。 本書提供了易於理解的數學解釋，這對於從高中一年級開始理解深度學習至關重要。 (微分、向量、矩陣、機率等) 為了讓您在最短的時間內輕鬆理解，我們將所解釋的數學領域縮小到最低限度，並在★特殊地圖★中總結了它們的相關性。 我們還提供 Jupyter Notebook 格式的使用數學從頭開始編寫的程式碼，以便您可以在實際使用時進行學習。 這本書將幫助您「真正」理解「深度學習」的運作原理。 [介紹] 第一章 機器學習簡介 [理論] 第 2 章 微分/積分 第 3 章向量與矩陣 第4章多元函數的微分 第 5 章指數與對數函數 第6章機率/統計 【實用版】 第7章 線性迴歸模型(迴歸) 第8章Logistic迴歸模型(二元分類) 第9章 Logistic迴歸模型(多層分類) 第10章深度學習模型 [發展] 第11章：以實用的深度學習為目標

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