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Download the fantastic book titled Deep Learning Algorithms and Applications written by Witold Pedrycz, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning Algorithms and Applications", which was released on 23 October 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Deep Learning Algorithms and Applications by Witold Pedrycz PDF

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.

Deep Learning Algorithms and Applications

Detail About Deep Learning Algorithms and Applications PDF

  • Author : Witold Pedrycz
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 360 pages
  • ISBN : 3030317609
  • PDF File Size : 25,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Deep Learning: Algorithms and Applications

Deep Learning: Algorithms and Applications
  • Publisher : Springer Nature
  • File Size : 29,5 Mb
  • Release Date : 23 October 2019
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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of

Machine and Deep Learning Algorithms and Applications

Machine and Deep Learning Algorithms and Applications
  • Publisher : Springer Nature
  • File Size : 50,6 Mb
  • Release Date : 31 May 2022
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This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to

Machine Learning Algorithms and Applications

Machine Learning Algorithms and Applications
  • Publisher : John Wiley & Sons
  • File Size : 38,6 Mb
  • Release Date : 10 August 2021
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Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and

Machine Learning

Machine Learning
  • Publisher : CRC Press
  • File Size : 23,8 Mb
  • Release Date : 19 August 2016
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Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for

Deep Learning

Deep Learning
  • Publisher : Walter de Gruyter GmbH & Co KG
  • File Size : 21,8 Mb
  • Release Date : 22 June 2020
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This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks

Machine Learning

Machine Learning
  • Publisher : BoD – Books on Demand
  • File Size : 47,8 Mb
  • Release Date : 22 December 2021
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Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding.

Fundamentals and Methods of Machine and Deep Learning

Fundamentals and Methods of Machine and Deep Learning
  • Publisher : John Wiley & Sons
  • File Size : 39,5 Mb
  • Release Date : 01 February 2022
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FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and

Deep Neural Networks

Deep Neural Networks
  • Publisher : CRC Press
  • File Size : 33,8 Mb
  • Release Date : 19 March 2019
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Toward Deep Neural Networks: WASD Neuronet Models, Algorithms, and Applications introduces the outlook and extension toward deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on

Deep Learning Applications

Deep Learning Applications
  • Publisher : Springer Nature
  • File Size : 47,7 Mb
  • Release Date : 28 February 2020
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This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application

Deep Learning: Fundamentals, Theory and Applications

Deep Learning: Fundamentals, Theory and Applications
  • Publisher : Springer
  • File Size : 25,6 Mb
  • Release Date : 15 February 2019
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The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress,