عنوان

Deep learning :

(Number (ISBN

303006073X

(Number (ISBN

3030060748

(Number (ISBN

9783030060732

(Number (ISBN

9783030060749

Erroneous ISBN

3030060721

Erroneous ISBN

9783030060725

Title Proper

Deep learning :

General Material Designation

[Book]

Other Title Information

fundamentals, theory and applications /

First Statement of Responsibility

editors, Kaizhu Huang, Amir Hussain, Qiu-Feng Wang and Rui Zhang.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations

Series Title

Cognitive computation trends ;

Volume Designation

volume 2

Text of Note

Includes bibliographical references and index.

Text of Note

Preface -- Introduction to Deep Density Models with Latent Variables -- Deep RNN Architecture: Design and Evaluation -- Deep Learning Based Handwritten Chinese Character and Text Recognition -- Deep Learning and Its Applications to Natural Language Processing -- Deep Learning for Natural Language Processing -- Oceanic Data Analysis with Deep Learning Models -- Index.

0

Text of Note

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 breakthroughs in various applications of text, image, video, speech and audio processing. Deep learning (DL) has been widely considered as the next generation of machine learning methodology. DL attracts much attention and also achieves great success in pattern recognition, computer vision, data mining, and knowledge discovery due to its great capability in learning high-level abstract features from vast amount of data. This new book will not only attempt to provide a general roadmap or guidance to the current deep learning methodologies, but also present the challenges and envision new perspectives which may lead to further breakthroughs in this field. This book will serve as a useful reference for senior (undergraduate or graduate) students in computer science, statistics, electrical engineering, as well as others interested in studying or exploring the potential of exploiting deep learning algorithms. It will also be of special interest to researchers in the area of AI, pattern recognition, machine learning and related areas, alongside engineers interested in applying deep learning models in existing or new practical applications.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030060732

Title

Deep learning.

International Standard Book Number

9783030060725

Artificial intelligence.

Machine learning.

Neural networks (Computer science)

Artificial intelligence.

COMPUTERS-- General.

Machine learning.

Neural networks (Computer science)

COM-- 000000

MBGR

MBGR

Number

Edition

Class number

Huang, Kaizhu

Hussain, A., (Amir)

Wang, Qiu-Feng

Zhang, Rui

Date of Transaction

20200823082116.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y