Neural networks and deep learning : a textbook / Charu C. Aggarwal.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9783319944630
- 3319944630
- 9783319944623
- Computer science
- Neural networks (Computer science)
- Machine learning
- Computers
- Computers
- Computer networking & communications
- Computer architecture & logic design
- Artificial intelligence
- Information systems
- Computers
- Artificial intelligence
- -- Online Services -- General
- -- Systems Architecture -- General
- -- Intelligence (AI) & Semantics
- 006.32 23 AGG
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
![]() |
CUTN Central Library Generalia | Non-fiction | 006.32 AGG (Browse shelf(Opens below)) | Available | 37494 |
Academic
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.
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, Read more...
Includes bibliographical references and index.
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK). UkOxU
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. UkOxU
There are no comments on this title.