Deep Learning from the Basics
暫譯: 從基礎開始的深度學習

Saitoh, Koki

Deep Learning from the Basics
  • 出版商: Packt Publishing
  • 出版日期: 2021-03-04
  • 售價: $1,500
  • 貴賓價: 9.5 折 $1,425
  • 語言: 英文
  • 頁數: 316
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1800206135
  • ISBN-13: 9781800206137
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

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商品描述

Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.

Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation-an efficient way to calculate the gradients of weight parameters-and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays.

By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning.

商品描述(中文翻譯)

深度學習正迅速成為解決數據問題的首選方法。這部分得益於其多樣的數學演算法及其發現我們無法察覺的模式的能力。

《從基礎開始的深度學習》以快速的節奏介紹了深度學習與 Python，包括其定義、特徵和應用。您將學習如何在應用程式中使用 Python 解譯器和腳本檔案，並在深度學習模型中利用 NumPy 和 Matplotlib。隨著您在書中的進展，您將發現反向傳播（backpropagation）——一種有效計算權重參數梯度的方法，並研究多層感知器及其限制，最後實現一個三層神經網絡並計算多維陣列。

到書籍結束時，您將具備應用深度學習相關技術的知識。

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