عنوان

Neural networks and deep learning :

شابک

3319944630

شابک

3319944649

شابک

9783319944630

شابک

9783319944647

شابک اشتباه

3319944622

شابک اشتباه

9783319944623

شماره

b624165

عنوان اصلي

Neural networks and deep learning :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a textbook /

نام نخستين پديدآور

Charu C. Aggarwal.

نام خاص و کميت اثر

1 online resource (xxiii, 497 pages) :

ساير جزييات

illustrations (some color)

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

1 An Introduction to Neural Networks -- 2 Machine Learning with Shallow Neural Networks -- 3 Training Deep Neural Networks -- 4 Teaching Deep Learners to Generalize -- 5 Radical Basis Function Networks -- 6 Restricted Boltzmann Machines -- 7 Recurrent Neural Networks -- 8 Convolutional Neural Networks -- 9 Deep Reinforcement Learning -- 10 Advanced Topics in Deep Learning.

بدون عنوان

0

متن يادداشت

This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix. 9783319944630

عنوان

Neural networks and deep learning.

شماره استاندارد بين المللي کتاب و موسيقي

9783319944623

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

Artificial Intelligence.

موضوع مستند نشده

Information Systems and Communication Service.

موضوع مستند نشده

Processor Architectures.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Computer architecture & logic design.

موضوع مستند نشده

Computer networking & communications.

موضوع مستند نشده

Computers-- Intelligence (AI) & Semantics.

موضوع مستند نشده

Computers-- Online Services-- General.

موضوع مستند نشده

Computers-- Systems Architecture-- General.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

COM004000

موضوع مستند نشده

TJFM1

موضوع مستند نشده

TJFM1

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Aggarwal, Charu C.

تاريخ عمليات

20201221083315.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

کد کاربرگه

270410

تكميل شده

Y