The course will be based on Lecture Notes, described in the Lecture Schedule.
Further recommended readings for the enthusiastic will be selected
parts of the following books. All are available at www.amazon.com,
or at the Fondren Library at Rice. You can also borrow my copies for short
periods of times.
- Christopher M. Bishop: Neural Networks for Pattern Recognition.
Oxford University Press, 1995.
- Thomas M. Cover and Joy. A, Thomas: Elements of Information
Theory. Wiley Series in Telecommunications. Wiley and Sons, 1991.
- Simon Haykin: Neural Networks. A Comprehensive Foundation.
McMillan, New Jersey, 1999. (2nd Edition)
- Frederick Ham and Ivica Kostanic: Principles of Neurocomputing for
Science & Engineering. McGraw-Hill, 2001.
- Gene H. Golub and Charles F. Van Loan: Matrix Computations
The John Hopkins University Press, 2nd edition, 1989.
Watch this page for update
of recommended reading!