Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding) - Image 1

£101.29

Academic Press Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

Name: Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
Brand: Academic Press
Price: 101.29 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 44 days • 44 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 44 days • 1 price levels

Days at Price

Price Analysis

Most common price: £101 (44 days, 100.0%)

Price range: £101 - £101

Price levels: 1 different prices over 44 days

Description

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

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128222263
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 December 2020
Listed Since: 13 December 2019

Barcode

No barcode data available

Academic Press Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems (Hybrid Computational Intelligence for Pattern Analysis and Understanding)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Academic Press Deep Learning for Data Analytics Textbook

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics: Techniques and Applications (Biomedical Engineering)

Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Neural Networks and Deep Learning: A Textbook

Springer Deep Learning for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics: 68 (Studies in Big Data, 68)

Springer Deep Learning in Healthcare: Paradigms and Applications

Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

Handbook of Deep Learning in Biomedical Engineering: Techniques and Applications

Deep Learning for Medical Applications with Unique Data

Deep Learning Approaches to Cloud Security (Advances in Cyber Security)

Introduction to Deep Learning for Healthcare

Arcler Press - Deep Learning Technologies and Applications

Neural Networks and Deep Learning: A Textbook

Deep Learning Applications for Cyber-Physical Systems

Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

Deep Learning for Unmanned Systems: 984 (Studies in Computational Intelligence, 984)

Machine Learning and Deep Learning Techniques for Medical Science (Artificial Intelligence AI: Elementary to Advanced Practices)

Meta-Learning: Theory, Algorithms and Applications

Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications

Neural Networks and Deep Learning: A Textbook