Trends in Deep Learning Methodologies Algorithms, Applications, and Systems - Vincenzo Piuri,Sandeep Raj,Angelo Genovese,Rajshree Srivastava
-40% koodiga BOOKS
Saadetis 10-16 tööpäeva jooksul
30-päevane tagastamisõigus
Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massiv ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-40% koodiga BOOKS
Meie tarnija laos
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-40% koodiga BOOKS
Meie tarnija laos
TOP
AI Engineering: Building Applications with Foundation Models
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Rust Programming Language
Steve Klabnik, Carol Nichols, Chris Krycho
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Art of Game Design: A Book of Lenses
-40% koodiga BOOKS
Meie tarnija laos
TOP
How To Think About AI: A Guide For The Perplexed
-40% koodiga BOOKS
Meie tarnija laos
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-40% koodiga BOOKS
Meie tarnija laos
TOP
HBR Guide to Generative AI for Managers
-40% koodiga BOOKS
Meie tarnija laos
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-40% koodiga BOOKS
Meie tarnija laos
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-40% koodiga BOOKS
Meie tarnija laos
TOP
How Linux Works: What Every Superuser Should Know
-40% koodiga BOOKS
Meie tarnija laos
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-40% koodiga BOOKS
Meie tarnija laos
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-40% koodiga BOOKS
Meie tarnija laos
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-40% koodiga BOOKS
Meie tarnija laos
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-40% koodiga BOOKS
Meie tarnija laos
TOP
Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
-40% koodiga BOOKS
Meie tarnija laos
TOP
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
-40% koodiga BOOKS
Meie tarnija laos
Kirjeldus
Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems covers deep learning approaches such as neural networks, deep belief networks, recurrent neural networks, convolutional neural networks, deep auto-encoder, and deep generative networks, which have emerged as powerful computational models. Chapters elaborate on these models which have shown significant success in dealing with massive data for a large number of applications, given their capacity to extract complex hidden features and learn efficient representation in unsupervised settings. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision, image processing, and more.
In recent years, many powerful algorithms have been developed for matching patterns in data and making predictions about future events. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher level representations of raw data. Earlier, it was a common requirement to have a domain expert to develop a specific model for each specific application, however, recent advancements in representation learning algorithms allow researchers across various subject domains to automatically learn the patterns and representation of the given data for the development of specific models.
Lisateave
| Autor | Vincenzo Piuri, Sandeep Raj, Angelo Genovese, Rajshree Srivastava |
|---|---|
| Kirjastaja | Elsevier Science |
| Väljalaskeaasta | 2020 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9780128222263 |