What is learning process ? What do you mean by supervised and unsupervised learning with suitable example
Learning in Neural Network:
- Learning is a relatively permanent change in behavior brought about by experience
- Learning in a network is a process of forcing a network to yeild particular response to a specific input.
Differentiate between Supervised and Unsupervised Learning:
|Supervised Learning||Unsupervised Learning|
|1. The desired output is known.||1. The desired output is unknown.|
|2. Error information can be used.||2. Error information cannot be used.|
|3. A reward/punishment scheme is used||3. It uses observation for learning|
|4. A training set is required.||4. A training set is not required.|
|5. It does not use the concept of clustering patter and SOM (Self Organizing Map)||5. It uses the concept of clustering patter and SOM (Self Organizing Map)|
|6. Analogy: It corresponds to learning in class room in the presence of teacher. Thus, questions can be answered.||6. Analogy: It corresponds to learning from a video tape lecture. Thus, questions can not be answered.|
|8. For Example: Perceptron learning rule||8. For Example: Hebbian learning rule|
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