July 2017
Beginner to intermediate
715 pages
17h 3m
English
Instantaneously Trained Neural Networks (ITNNs) are feedforward ANNs. They are special because they add a new hidden neuron for every unique set of training data. The main advantage to this type of network is the ability to provide generalization to other problems.
ITNNs are especially useful in short term learning situations. In particular, this type of network is useful for web searches and other pattern recognition functions with large datasets. These networks are suited for time series prediction and other deep learning purposes.