Question
Consider the single layer perception given below:
The activation function is:
Obtain the output for each of the following input pattern:
| Patterns |
|
|
|
|
|
| 1 | 0 | 1 | 1 |
|
| 0 | 1 | 0 | 1 |
|
| 0 | 1 | 1 | 1 |
Answer :
Word Count : 225
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Skip in 10
We compute the net input [ v = w_1 x_1 + w_2 x_2 + w_3 x_3 ] with weights [ w_1=2,\quad w_2=-4,\quad w_3=2 ] and activation function [ \phi(v)= \begin{cases} 1, & v \ge 0\ 0, & v < 0 \end{cases} ] ### Given input patterns | Pattern | (x_1) | (x_2) | (x_3) | | ------- | ----- | ----- | ----- | | P1 | 1
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