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 : /5 from reviews
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Download or read book entitled Trends in Deep Learning Methodologies by author: Vincenzo Piuri which was release on 01 December 2020 and published by Academic Press with total page 306 pages . This book available in PDF, EPUB and Kindle Format. 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 ...

Deep Learning Fundamentals Theory and Applications

Deep Learning  Fundamentals  Theory and Applications
  • Author : Kaizhu Huang,Amir Hussain,Qiu-Feng Wang,Rui Zhang
  • Publisher : Springer
  • Release Date : 2019-02-15
  • Total pages : 163
  • ISBN : 0128232684
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Summary : 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, discuss the most popular deep learning platforms and data sets, and describe how many deep learning methodologies have brought great ...

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 ...

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 ...

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 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 ...

The Development of Deep Learning Technologies

The Development of Deep Learning Technologies
  • Author : Chinese Academy of Engineering
  • Publisher : Springer
  • Release Date : 2020-08-14
  • Total pages : 58
  • ISBN : 0128232684
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Summary : This book is a part of the Blue Book series “Research on the Development of Electronic Information Engineering Technology in China,” which explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning methods in its ability to learn multiple levels ...

Modern Approaches in Machine Learning and Cognitive Science A Walkthrough

Modern Approaches in Machine Learning and Cognitive Science  A Walkthrough
  • Author : Vinit Kumar Gunjan
  • Publisher : Springer Nature
  • Release Date : 2021-07-25
  • Total pages : 212
  • ISBN : 0128232684
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Summary : Read online Modern Approaches in Machine Learning and Cognitive Science A Walkthrough written by Vinit Kumar Gunjan, published by Springer Nature which was released on . Download full Modern Approaches in Machine Learning and Cognitive Science A Walkthrough Books now! Available in PDF, ePub and Kindle....

AI and Deep Learning in Biometric Security

AI and Deep Learning in Biometric Security
  • Author : Gaurav Jaswal,Vivek Kanhangad,Raghavendra Ramachandra
  • Publisher : CRC Press
  • Release Date : 2021-03-22
  • Total pages : 364
  • ISBN : 0128232684
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Summary : This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution ...

Advanced Deep Learning with R

Advanced Deep Learning with R
  • Author : Bharatendra Rai
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-12-17
  • Total pages : 352
  • ISBN : 0128232684
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Summary : Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key Features Implement deep learning algorithms to build AI models with the help of tips and tricks Understand how deep learning models operate using expert techniques Apply reinforcement learning, computer vision, GANs, and ...

Handbook of Research on Machine Learning Innovations and Trends

Handbook of Research on Machine Learning Innovations and Trends
  • Author : Hassanien, Aboul Ella,Gaber, Tarek
  • Publisher : IGI Global
  • Release Date : 2017-04-03
  • Total pages : 1093
  • ISBN : 0128232684
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Summary : Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest ...

Condition Monitoring with Vibration Signals

Condition Monitoring with Vibration Signals
  • Author : Asoke K. Nandi,Hosameldin Ahmed
  • Publisher : John Wiley & Sons
  • Release Date : 2019-12-23
  • Total pages : 440
  • ISBN : 0128232684
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Summary : Provides an extensive, up-to-date treatment of techniques used for machine condition monitoring Clear and concise throughout, this accessible book is the first to be wholly devoted to the field of condition monitoring for rotating machines using vibration signals. It covers various feature extraction, feature selection, and classification methods as well ...

PRICAI 2019 Trends in Artificial Intelligence

PRICAI 2019  Trends in Artificial Intelligence
  • Author : Abhaya C. Nayak,Alok Sharma
  • Publisher : Springer Nature
  • Release Date : 2019-08-22
  • Total pages : 761
  • ISBN : 0128232684
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Summary : This three-volume set LNAI 11670, LNAI 11671, and LNAI 11672 constitutes the thoroughly refereed proceedings of the 16th Pacific Rim Conference on Artificial Intelligence, PRICAI 2019, held in Cuvu, Yanuca Island, Fiji, in August 2019. The 111 full papers and 13 short papers presented in these volumes were carefully reviewed and selected from 265 submissions. PRICAI covers a ...

Futuristic Trends in Networks and Computing Technologies

Futuristic Trends in Networks and Computing Technologies
  • Author : Pradeep Kumar Singh,Sanjay Sood,Yugal Kumar,Marcin Paprzycki,Anton Pljonkin,Wei-Chiang Hong
  • Publisher : Springer Nature
  • Release Date : 2020-04-21
  • Total pages : 710
  • ISBN : 0128232684
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Summary : This book constitutes the refereed proceedings of the Second International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2019, held in Chandigarh, India, in November 2019. The 49 revised full papers and 6 short papers presented were carefully reviewed and selected from 226 submissions. The prime aim of the conference is to invite ...