Neural networks and deep learning : a textbook / Charu C Aggarwal
Includes bibliographical references (pages 474-507) and index.
Lưu vào:
Tác giả chính: | |
---|---|
Định dạng: | text |
Ngôn ngữ: | eng |
Thông tin xuất bản: |
Springer,
|
Chủ đề: | |
Truy cập trực tuyến: | http://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/21389_neuralnetworksanddeeplearning_kthumbimage.jpg http://elib.ntt.edu.vn/Opac/DmdInfo.aspx?dmd_id=21389 |
Từ khóa: |
Thêm từ khóa bạn đọc
Không có từ khóa, Hãy là người đầu tiên gắn từ khóa cho biểu ghi này!
|
id |
ntt-http:--elib.ntt.edu.vn-Opac-DmdInfo.aspx?dmd_id=21389 |
---|---|
record_format |
dspace |
spelling |
ntt-http:--elib.ntt.edu.vn-Opac-DmdInfo.aspx?dmd_id=213892022-05-03Neural networks and deep learning : a textbook / Charu C AggarwalAggarwal, Charu C.Computer scienceNeural networks (Computer science)Artificial intelligenceMachine learningKhoa Công nghệ Thông tinMạng máy tính & truyền thông dữ liệuCơ điện tửIncludes bibliographical references (pages 474-507) and index. 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 techniquesSpringerSpringer, 2018.texthttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/21389_neuralnetworksanddeeplearning_kthumbimage.jpg9783319944623 http://elib.ntt.edu.vn/Opac/DmdInfo.aspx?dmd_id=21389enghttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/21389_neuralnetworksanddeeplearning_kthumbimage.jpg |
institution |
Trường Đại học - Nguyễn Tất Thành |
collection |
Kipos |
language |
eng |
topic |
Computer science Neural networks (Computer science) Artificial intelligence Machine learning Khoa Công nghệ Thông tin Mạng máy tính & truyền thông dữ liệu Cơ điện tử |
spellingShingle |
Computer science Neural networks (Computer science) Artificial intelligence Machine learning Khoa Công nghệ Thông tin Mạng máy tính & truyền thông dữ liệu Cơ điện tử Aggarwal, Charu C. Neural networks and deep learning : a textbook / Charu C Aggarwal |
description |
Includes bibliographical references (pages 474-507) and index. |
format |
text |
author |
Aggarwal, Charu C. |
author_facet |
Aggarwal, Charu C. |
author_sort |
Aggarwal, Charu C. |
title |
Neural networks and deep learning : a textbook / Charu C Aggarwal |
title_short |
Neural networks and deep learning : a textbook / Charu C Aggarwal |
title_full |
Neural networks and deep learning : a textbook / Charu C Aggarwal |
title_fullStr |
Neural networks and deep learning : a textbook / Charu C Aggarwal |
title_full_unstemmed |
Neural networks and deep learning : a textbook / Charu C Aggarwal |
title_sort |
neural networks and deep learning : a textbook / charu c aggarwal |
publisher |
Springer, |
url |
http://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/21389_neuralnetworksanddeeplearning_kthumbimage.jpg http://elib.ntt.edu.vn/Opac/DmdInfo.aspx?dmd_id=21389 |
work_keys_str_mv |
AT aggarwalcharuc neuralnetworksanddeeplearningatextbookcharucaggarwal |
_version_ |
1748825499127250944 |