Deep Learning from the Basics

Saitoh, Koki

  • 出版商: Packt Publishing
  • 出版日期: 2021-03-04
  • 定價: $1,350
  • 售價: 9.0$1,215
  • 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
  • 立即出貨 (庫存=1)

相關主題

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。這部分歸功於其豐富的數學算法和它們發現我們無法察覺的模式的能力。

《從基礎開始的深度學習》以快節奏的方式介紹了深度學習的基礎知識,包括Python的使用、定義、特性和應用。您將學習如何在應用程序中使用Python解釋器和腳本文件,並在深度學習模型中使用NumPy和Matplotlib。隨著您閱讀本書的進展,您將了解反向傳播——一種計算權重參數梯度的高效方法——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數組。

通過閱讀本書,您將獲得應用深度學習相關技術的知識。