: A type of unsupervised learning used to produce a low-dimensional representation of input space. Training Techniques
: Building simple applications to recognize handwriting.
: Techniques for optimizing network size.
: Recurrent networks often used for associative memory and pattern recognition.
The book is available at major retailers like Amazon and AbeBooks .
: Evolution-inspired training methods used to find optimal network weights.
: Creating internet bots capable of scanning and interpreting web page data. Chapter Breakdown
: A type of unsupervised learning used to produce a low-dimensional representation of input space. Training Techniques
: Building simple applications to recognize handwriting. Introduction to Neural Networks for C#, 2nd Edi...
: Techniques for optimizing network size. : A type of unsupervised learning used to
: Recurrent networks often used for associative memory and pattern recognition. Introduction to Neural Networks for C#, 2nd Edi...
The book is available at major retailers like Amazon and AbeBooks .
: Evolution-inspired training methods used to find optimal network weights.
: Creating internet bots capable of scanning and interpreting web page data. Chapter Breakdown
