Trends in Deep Learning Methodologies

Written By Vincenzo Piuri
Trends in Deep Learning Methodologies
  • Publsiher : Academic Press
  • Release : 01 December 2020
  • ISBN : 0128232684
  • Pages : 306 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Trends in Deep Learning Methodologies written by Vincenzo Piuri which was release on 01 December 2020, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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

Trends in Deep Learning Methodologies

Trends in Deep Learning Methodologies
  • Author : Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
  • Publisher : Academic Press
  • Release Date : 2020-12-01
  • Total pages : 306
  • ISBN : 0128232684
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Summary : 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 ...

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,Guerrero, Jos‚ David Mart¡n,Martinez-Sober, Marcelino,Magdalena-Benedito, Jose Rafael,Serrano L¢pez, Antonio Jos‚
  • Publisher : IGI Global
  • Release Date : 2009-08-31
  • Total pages : 852
  • ISBN : 0128232684
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Summary : "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,Kumar, Sandeep,Nayyar, Anand
  • Publisher : IGI Global
  • Release Date : 2019-12-13
  • Total pages : 674
  • ISBN : 0128232684
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Summary : 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 ...

Parallel Computing Technology Trends

Parallel Computing  Technology Trends
  • Author : I. Foster,G.R. Joubert,L. Kučera
  • Publisher : IOS Press
  • Release Date : 2020-03-25
  • Total pages : 804
  • ISBN : 0128232684
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Summary : The year 2019 marked four decades of cluster computing, a history that began in 1979 when the first cluster systems using Components Off The Shelf (COTS) became operational. This achievement resulted in a rapidly growing interest in affordable parallel computing for solving compute intensive and large scale problems. It also directly lead ...

Deep Learning

Deep Learning
  • Author : Li Deng,Dong Yu
  • Publisher : Unknown
  • Release Date : 2014
  • Total pages : 212
  • ISBN : 0128232684
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Summary : Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks...

Deep Learning Based Approaches for Sentiment Analysis

Deep Learning Based Approaches for Sentiment Analysis
  • Author : Basant Agarwal,Richi Nayak,Namita Mittal,Srikanta Patnaik
  • Publisher : Springer Nature
  • Release Date : 2020-01-24
  • Total pages : 319
  • ISBN : 0128232684
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Summary : This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. ...

Deep Learning and Neural Networks Concepts Methodologies Tools and Applications

Deep Learning and Neural Networks  Concepts  Methodologies  Tools  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2019-10-11
  • Total pages : 1671
  • ISBN : 0128232684
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Summary : Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in ...

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
  • Author : Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
  • Publisher : IGI Global
  • Release Date : 2019-11-29
  • Total pages : 355
  • ISBN : 0128232684
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Summary : 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 ...

Machine Learning Applications

Machine Learning Applications
  • Author : Rik Das,Siddhartha Bhattacharyya,Sudarshan Nandy
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-04-20
  • Total pages : 153
  • ISBN : 0128232684
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Summary : The publication is attempted to address emerging trends in machine learning applications. Recent trends in information identification have identified huge scope in applying machine learning techniques for gaining meaningful insights. Random growth of unstructured data poses new research challenges to handle this huge source of information. Efficient designing of machine ...

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
  • Author : K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh
  • Publisher : CRC Press
  • Release Date : 2020-10-07
  • Total pages : 250
  • ISBN : 0128232684
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Summary : Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts ...

Deep Learning Innovations and Their Convergence With Big Data

Deep Learning Innovations and Their Convergence With Big Data
  • Author : Karthik, S.,Paul, Anand,Karthikeyan, N.
  • Publisher : IGI Global
  • Release Date : 2017-07-13
  • Total pages : 265
  • ISBN : 0128232684
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Summary : The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is ...

Stock Trend Prediction Based on Machine Learning Methods

Stock Trend Prediction  Based on Machine Learning Methods
  • Author : Yuan Song
  • Publisher : Unknown
  • Release Date : 2018
  • Total pages : 43
  • ISBN : 0128232684
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Summary : Nowadays, people show more and more enthusiasm for applying machine learning methods to finance domain. Many scholars and investors are trying to discover the mystery behind the stock market by applying deep learning. This thesis compares four machine learning methods: long short-term memory (LSTM), gated recurrent units (GRU), support vector ...

Adversary Aware Learning Techniques and Trends in Cybersecurity

Adversary Aware Learning Techniques and Trends in Cybersecurity
  • Author : Prithviraj Dasgupta,Joseph B. Collins,Ranjeev Mittu
  • Publisher : Springer Nature
  • Release Date : 2021-01-22
  • Total pages : 227
  • ISBN : 0128232684
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Summary : This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written ...

Handbook of Research on Applications and Implementations of Machine Learning Techniques

Handbook of Research on Applications and Implementations of Machine Learning Techniques
  • Author : Sathiyamoorthi Velayutham
  • Publisher : IGI Gloval, Engineering Science Reference
  • Release Date : 2019-07
  • Total pages : 461
  • ISBN : 0128232684
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Summary : "This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--...

Machine Learning

Machine Learning
  • Author : Andrea Mechelli,Sandra Vieira
  • Publisher : Academic Press
  • Release Date : 2019-11-14
  • Total pages : 408
  • ISBN : 0128232684
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Summary : Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools ...