About this document
Practical Guide to ANN Implementation by rohit148in is a document available to read on EtoBox.
The document discusses neural networks and their taxonomy. It provides examples of different types of neural network architectures, including feedforward, radial basis function, Kohonen self-organizing, recurrent, simple recurrent, Hopfield, echo state, long short term memory, stochastic, Boltzmann machine, modular, associative, and holographic associative memory networks. It also gives a brief overview of how backpropagation training works using the Stuttgart Neural Network Simulator as an example tool.
- Author
- rohit148in
- Language
- EN