عنوان

Deep learning :

شابک

303006073X

شابک

3030060748

شابک

9783030060732

شابک

9783030060749

شابک اشتباه

3030060721

شابک اشتباه

9783030060725

عنوان اصلي

Deep learning :

نام عام مواد

[Book]

ساير اطلاعات عنواني

fundamentals, theory and applications /

نام نخستين پديدآور

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

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource :

ساير جزييات

illustrations

عنوان فروست

Cognitive computation trends ;

مشخصه جلد

volume 2

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783030060732

عنوان

Deep learning.

شماره استاندارد بين المللي کتاب و موسيقي

9783030060725

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

COMPUTERS-- General.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

COM-- 000000

موضوع مستند نشده

MBGR

موضوع مستند نشده

MBGR

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Huang, Kaizhu

مستند نام اشخاص تاييد نشده

Hussain, A., (Amir)

مستند نام اشخاص تاييد نشده

Wang, Qiu-Feng

مستند نام اشخاص تاييد نشده

Zhang, Rui

تاريخ عمليات

20200823082116.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y