Neural network-part2

Feedforward unsupervised learning
“When an axon of a cell A is near enough to exicite a cell B and repeatedly and persistently takes place in firing it, some growth process or change takes place in one or both cells increasing the efficiency”
If oixj is positive the results is increase in weight else vice versa
Learning signal is the difference between the desired and actual neuron’s response
Learning is supervised

Learning signal is the difference between the desired and actual neuron’s response
Learning is supervised

Can be explained for a layer of neurons
Example of competitive learning and used for unsupervised network training
Learning is based on the premise that one of the neurons in the layer has a maximum response due to the input x
This neuron is declared the winner with a weight
Can be explained for a layer of neurons
Example of competitive learning and used for unsupervised network training
Learning is based on the premise that one of the neurons in the layer has a maximum response due to the input x
This neuron is declared the winner with a weight