Neural Networks and Deep Learning
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.
Download free tutorial in PDF (512 pages) created by Charu C. Aggarwal .
| Pages : | 512 |
| Size : | |
| File type : | HTML |
| Downloads: | 236 |
| Created: | 2021-05-15 |
| License: | Free |
| Author(s): | Charu C. Aggarwal |
Warning: Trying to access array offset on false in /home/tutovnfz/public_html/article.php on line 233
Others Neural Networks Tutorials
Artificial Neural Networks - Models and Applications
Artificial Neural Networks - Architectures and Applications
Artificial Neural Networks - Methodological Advances and Biomedical Applications
Others related eBooks about Neural Networks and Deep Learning
Computer Networks: A Systems ApproachThis book explores the key principles of computer networking, with examples drawn from the real world of network and protocol design. Using the Internet as the primary example, this best selling and classic textbook explains various protocols and networking technologies. The systems oriented appro...
Introduction to Computer NetworkThis tutorial is aimed to learn the fundamental of computer network, many questions and answers about the popular technology used for networking systems (wireless network, cellular communication, wap, bluetooth, wimax,..). Free pdf tutorial designed to beginners....
Social Theory after the InternetDownload free course Social Theory after the Internet, pdf file on 210 pages by Ralph Schroeder....
Representation Learning for Natural Language ProcessingDownload free course Representation Learning for Natural Language Processing, pdf file on 349 pages by Zhiyuan Liu, Yankai Lin, Maosong Sun....
Internet of ThingsDownload free course Internet of Things, pdf file on 235 pages by Leon Strous, Vinton Cerf....
Security Infrastructure Technology for Integrated Utilization of Big DataDownload free course Security Infrastructure Technology for Integrated Utilization of Big Data, pdf file on 171 pages by Atsuko Miyaji, Tomoaki Mimoto....
An Introduction to Computer NetworksDownload free course An Introduction to Computer Networks, pdf file on 896 pages by by Peter L Dordal....
WLAN network basicsDownload free WLAN network basics Systems (example:802.11 WLAN Systems) course material, tutorial training, a PDF file under 53 pages by veriwave....
Secrets of Network Cartography: A Comprehensive Guide to NmapEver wonder which Nmap scan was the right one to use? Thirteen different Nmap scans are profiled, with advantages, disadvantages, and usage guidelines for each one. Each scan method includes graphical scan descriptions and packet-by-packet analysis! - Nmap's operating system fingerprinting can pro...
802.11 WLAN Systems TutorialDownload free 802.11 WLAN Systems course material, tutorial training, a PDF in 53 pages by veriwave, free document designated to intermediate level users....