About this document
Artificial Neural Networks Detailed Notes by Prajukta Das is a document available to read on EtoBox.
The document provides a comprehensive overview of Artificial Neural Networks (ANNs), detailing their historical development, types, and key concepts such as the perceptron model and activation functions. It covers various modules, including feedforward networks, radial basis function networks, self-organizing maps, and Hopfield networks, along with their applications in pattern recognition. The notes also address important topics like error functions, backpropagation, overfitting, and regularization techniq
- Author
- Prajukta Das
- Language
- EN