Chu tan shen du xue xi : shi yong TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learning /
初探深度學習 : 使用 TensorFlow = TensorFlow for deep learning : from linear regression to reinforcement learning /
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Author / Creator: | Ramsundar, Bharath, author. |
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Uniform title: | TensorFlow for deep learning. Chinese |
Edition: | [First edition]. |
Imprint: | [Place of publication not identified] : GoTop Information, Inc., [2018] |
Description: | 1 online resource (256 pages) : illustrations |
Language: | Chinese |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13697412 |
Varying Form of Title: | TensorFlow for deep learning : from linear regression to reinforcement learning |
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Other authors / contributors: | Bosagh Zadeh, Reza, author. Lai, Yimin, translator. 賴屹民, translator. |
ISBN: | 9789864769056 9864769057 |
Notes: | Includes index. |
Summary: | Detailed summary in vernacular field. 從線性迴歸到強化學習 "對想要進入深度學習這個令人興奮的領域的機器學習從業者來說,這是一本很棒的書。由於本書涵蓋廣泛的主題,當你想要進一步提升技術時,也會將它當成參考書來重新閱讀。" --Marvin Bertin Freenome機器學習研究工程師 TensorFlow是革命性的Google深度學習程式庫,本書將教你如何用它來解決具挑戰性的機器學習問題。只要你具備一些基本線性代數與微積分的背景知識,就可以在這本實用的書籍學到如何設計能夠檢查圖像物體、瞭解文字以及預測潛在藥物特性的系統,瞭解機器學習的基礎知識。 透過實際的案例傳授觀念,協助你從根本開始建立深厚的深度學習基礎知識。本書非常適合具備軟體系統設計經驗的實務開發者,或已熟悉腳本語言但不知道如何設計學習演算法的專家。 ‧學習TensorFlow的基本知識,包括如何執行基本的計算 ‧藉由建立簡單的學習系統瞭解相關數學基礎 ‧深入瞭解已被上千種app使用的全連結深度網路 ‧藉由超參數優化將原型轉換成高品質的模型 ‧用摺積神經網路處理圖像 ‧用遞迴神經網路處理神經語言資料集 ‧使用強化學習玩遊戲,例如井字遊戲 ‧用GPU與張量處理單元等硬體訓練深度網路. |
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