Goodreads helps you keep track of books you want to read.
Start by marking “Neural Networks for Pattern Recognition” as Want to Read:
Neural Networks for Pattern Recognition
Enlarge cover
Rate this book
Clear rating
Open Preview

Neural Networks for Pattern Recognition

4.10  ·  Rating details ·  154 ratings  ·  4 reviews
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms ...more
Paperback, 504 pages
Published January 18th 1996 by Clarendon Press
More Details... Edit Details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Neural Networks for Pattern Recognition, please sign up.

Be the first to ask a question about Neural Networks for Pattern Recognition

Community Reviews

Showing 1-30
Average rating 4.10  · 
Rating details
 ·  154 ratings  ·  4 reviews


More filters
 | 
Sort order
Start your review of Neural Networks for Pattern Recognition
Ira Burton
Jan 17, 2008 rated it really liked it
A great book on the use of neural network as they apply to pattern recognition. This book is understandably heavy on the mathematical aspects of things, but the author does so with a grain of salt. This is definitely not a mathematics book.
Ole Laursen
May 17, 2017 rated it it was amazing
Most books about neural networks are silent when it comes to less obvious details of what training feedforward networks actually does, and what the result of the network represents. This book analyzes all these details by means of statistics, and consequently gives a very solid foundation for understanding neural networks. The definitive book for feedforward neural networks - extremely good! The math-heavy treatise makes it unsuitable for a beginners book, though.
Brian
Oct 21, 2019 rated it really liked it
This book was a decent understanding of neural networks and the math behind segmentation etc. it could have been more math heavy in my opinion but makes a good attempt to cover a more advanced concept and make it relatively approachable by someone with knowledge. Overall it was a good read.
DJ
Jan 13, 2009 marked it as to-read
intro to neural networks
Reino
rated it liked it
Jul 15, 2012
Michael Mastroianni
rated it liked it
Oct 30, 2011
Jd98
rated it liked it
Mar 29, 2012
Siddhesh S
rated it it was amazing
Dec 24, 2019
Brian Powell
rated it really liked it
Feb 22, 2018
Northern
rated it really liked it
Dec 17, 2015
Josh N.
rated it really liked it
Aug 24, 2019
Igor
rated it it was amazing
Sep 07, 2007
Andrew
rated it really liked it
Mar 20, 2007
Ransala
rated it it was amazing
Dec 26, 2017
Mariya
rated it really liked it
Oct 13, 2019
Milton
rated it liked it
Apr 29, 2017
Carlos
rated it it was amazing
Nov 05, 2016
Joshua Kumar
rated it it was amazing
Dec 05, 2017
Sacha Wheeler
rated it liked it
Jul 22, 2016
Eizaburo
rated it it was amazing
May 17, 2013
Emmi
rated it really liked it
Nov 21, 2018
Caleb
rated it really liked it
Dec 12, 2016
Nivedh Kannaa
rated it it was ok
Mar 12, 2015
John
rated it really liked it
Oct 17, 2014
Peter Hennings
rated it it was amazing
May 19, 2013
Swaroop
rated it really liked it
Jul 16, 2016
Juan Pablo
rated it it was amazing
Apr 02, 2013
Otto Hahaa
rated it really liked it
May 20, 2013
Reynaldo
rated it it was amazing
Sep 12, 2012
Olaf
rated it it was amazing
Nov 02, 2015
« previous 1 3 4 5 6 next »
There are no discussion topics on this book yet. Be the first to start one »

Readers also enjoyed

  • Mastering Machine Learning with R - Second Edition
  • Neural Networks: A Systematic Introduction
  • Neural Networks: A Comprehensive Foundation
  • The 80/20 Principle: The Secret to Achieving More with Less
  • Unlimited Memory: How to Use Advanced Learning Strategies to Learn Faster, Remember More and be More Productive (Mental Mastery Book 1)
  • Bayesian Data Analysis
  • Probability Theory
  • Bayesian Reasoning and Machine Learning
  • The 10x Rule: The Only Difference Between Success and Failure
  • The Personal MBA: Master the Art of Business
  • High Performance Habits: How Extraordinary People Become That Way
  • Someone Who Will Love You in All Your Damaged Glory
  • How to Talk to Girls at Parties
  • Pieces of Light: The New Science of Memory
  • The Voices Within
  • The Dark Tower Series Collection: The Gunslinger, The Drawing of the Three, The Waste Lands, Wizard and Glass, Wolves of the Calla, Song of Susannah, The Dark Tower
  • The Call of Cthulhu and Other Weird Stories
  • Dreamcatcher
See similar books…

Goodreads is hiring!

If you like books and love to build cool products, we may be looking for you.
Learn more »