Trends in Deep Learning Methodologies Books

Click Get Book Button To Download or read online Trends in Deep Learning Methodologies books, Available in PDF, ePub, Tuebl and Kindle. This site is like a library, Use search box in the widget to get ebook that you want.

Trends in Deep Learning Methodologies


Trends in Deep Learning Methodologies
  • Author : Vincenzo Piuri
  • Publisher : Academic Press
  • Release : 2020-12-01
  • ISBN : 9780128232682
  • Language : En, Es, Fr & De
GET BOOK

Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more. In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models. Provides insights into the theory, algorithms, implementation and the application of deep learning techniques Covers a wide range of applications of deep learning across smart healthcare and smart engineering Investigates the development of new models and how they can be exploited to find appropriate solutions

Deep Learning


Deep Learning
  • Author : Li Deng
  • Publisher :
  • Release : 2014
  • ISBN : 1601988141
  • Language : En, Es, Fr & De
GET BOOK

Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Handbook of Research on Machine Learning Applications and Trends Algorithms Methods and Techniques


Handbook of Research on Machine Learning Applications and Trends  Algorithms  Methods  and Techniques
  • Author : Olivas, Emilio Soria
  • Publisher : IGI Global
  • Release : 2009-08-31
  • ISBN : 9781605667676
  • Language : En, Es, Fr & De
GET BOOK

"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.

Handbook of Research on Emerging Trends and Applications of Machine Learning


Handbook of Research on Emerging Trends and Applications of Machine Learning
  • Author : Solanki, Arun
  • Publisher : IGI Global
  • Release : 2019-12-13
  • ISBN : 9781522596455
  • Language : En, Es, Fr & De
GET BOOK

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics


Deep Learning Techniques and Optimization Strategies in Big Data Analytics
  • Author : Thomas, J. Joshua
  • Publisher : IGI Global
  • Release : 2019-11-29
  • ISBN : 9781799811947
  • Language : En, Es, Fr & De
GET BOOK

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.