Deep Learning Neural Networks: Design and Case Studies (Paperback)(快遞進口)

Daniel Graupe

  • 出版商: World Scientific Pub
  • 出版日期: 2016-08-02
  • 售價: $1,980
  • 貴賓價: 9.5$1,881
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Paperback
  • ISBN: 9813146451
  • ISBN-13: 9789813146457
  • 相關分類: DeepLearning
  • 立即出貨 (庫存=1)

買這商品的人也買了...

相關主題

商品描述

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.

This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

Readership: Researchers, academics, professionals, graduate and undergraduate students in machine learning, artificial intelligence, neural networks/networking, software engineering, and in their applications in medicine, security engineering and financial engineering.

商品描述(中文翻譯)

深度學習神經網絡是機器學習中增長最快的領域。它作為一種強大的計算工具,基於明確定義的計算架構,用於解決預測、決策、診斷、檢測和決策問題。它已成功應用於廣泛的應用領域,包括計算機安全、語音識別、圖像和視頻識別,以及工業故障檢測、醫學診斷和金融領域。

這本全面的教科書是這個新興領域中的第一本。書中簡潔地展示了眾多案例研究。它旨在作為一學期的研究生級大學教材,以及工業、醫學和金融研究的研究和開發機構的教材。

讀者群:機器學習、人工智能、神經網絡/網絡、軟件工程以及在醫學、安全工程和金融工程等領域應用中的研究人員、學者、專業人士、研究生和本科生。