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what is learning in neural network ?
written 7.4 years ago by | modified 2.3 years ago by |
Mumbai University > Computer Engineering > Sem 7 > Soft Computing
Marks: 5 Marks
Year: May 2016
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written 7.4 years ago by | modified 2.3 years ago by |
Mumbai University > Computer Engineering > Sem 7 > Soft Computing
Marks: 5 Marks
Year: May 2016
written 7.4 years ago by |
Broadly, there are two kinds of learning in neutral network:
i. Parameter learning: It updates the connecting weights in a neutral net.
ii. Structured learning:
iii. It focuses on the change in network structure.
The above two types of learning can be performed simultaneously or separately.
Apart from these two categories of learning, the learning in an neutral network can be generally classified into three categories as
i. Supervised learning
ii. Unsupervised learning
iii. Reinforcement learning