Grokking Deep Learning (Paperback) (深入理解深度學習)

Andrew Trask

  • 出版商: Manning
  • 出版日期: 2019-01-25
  • 定價: $1,900
  • 售價: 9.5$1,805
  • 貴賓價: 9.0$1,710
  • 語言: 英文
  • 頁數: 325
  • 裝訂: Paperback
  • ISBN: 1617293709
  • ISBN-13: 9781617293702
  • 相關分類: DeepLearning
  • 相關翻譯: 深度學習圖解 (Grokking Deep Learning) (簡中版)
  • 立即出貨 (庫存 < 4)

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商品描述

An excellent introduction and overview of deep learning by a masterful teacher who guides, illuminates, and encourages you along the way.

-  Kelvin D. Meeks, International Technology Ventures

 

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks.

about the technology

Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning.

about the book

Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you’ll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you’re done, you’ll be fully prepared to move on to mastering deep learning frameworks.

what's inside

  • The science behind deep learning
  • Building and training your own neural networks
  • Privacy concepts, including federated learning
  • Tips for continuing your pursuit of deep learning

about the reader

For readers with high school-level math and intermediate programming skills.

about the author

Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world’s largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform.

商品描述(中文翻譯)

「Grokking Deep Learning」是一本由深度學習專家Andrew Trask所撰寫的書籍,以深入淺出的方式教導讀者如何從頭開始建立深度學習神經網絡。書中詳細介紹了神經網絡訓練的每個細節,讓讀者能夠深入理解其科學原理。使用Python和其數學支持庫NumPy,讀者將能夠訓練自己的神經網絡,進行圖像辨識、文本翻譯以及模仿莎士比亞的寫作。閱讀完本書後,讀者將具備深度學習框架的掌握能力。

本書內容包括深度學習的科學原理、建立和訓練神經網絡的方法、隱私概念(包括聯邦學習)以及深度學習的進一步學習建議。適合具備高中程度數學和中級程式設計技能的讀者閱讀。

作者Andrew Trask是牛津大學的博士生,也是DeepMind的研究科學家。他曾在Digital Reasoning擔任研究員和分析產品經理,訓練過全球最大的人工神經網絡,並協助指導Synthesys認知計算平台的分析路線圖。