Neural Networks and Learning Machines
Publication details: Noida: Pearson, 2016Edition: 3Description: 917ISBN:- 9789332570313
- 006.32 HAY
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Book | Alliance College of Engineering and Design | CSE & IT | 006.32 HAY (Browse shelf(Opens below)) | Checked out | 23/01/2025 | E13678 | ||
Book | Alliance College of Engineering and Design | CSE & IT | 006.32 HAY (Browse shelf(Opens below)) | Available | E13681 | |||
Book | Alliance College of Engineering and Design | CSE & IT | 006.32 HAY (Browse shelf(Opens below)) | Available | E13680 | |||
Reference Book | Alliance College of Engineering and Design | CSE & IT | 006.32 HAY (Browse shelf(Opens below)) | Not for loan | E13677 | |||
Book | Alliance College of Engineering and Design | CSE & IT | 006.32 HAY (Browse shelf(Opens below)) | Available | E13679 |
Total holds: 0
Browsing Alliance College of Engineering and Design shelves, Collection: CSE & IT Close shelf browser (Hides shelf browser)
006.32 HAY Neural Networks and Learning Machines | 006.32 HAY Neural Networks and Learning Machines | 006.32 HAY Neural Networks and Learning Machines | 006.32 HAY Neural Networks and Learning Machines | 006.32 MEH Elements of artificial neural networks | 006.32 MUR Multidimensional Neural Networks: Unified Theory | 006.32 MUR Multidimensional Neural Networks: Unified Theory |
Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.
There are no comments on this title.
Log in to your account to post a comment.