Question: The perceptron in question 4 is trained using the learning rule = times ( - ) , where is the input, is the learning

The perceptron in question
4
is trained using the learning rule
=
\times
(
-
)
,
where
is the input,
is the learning rate,
is the weight,
is the desired output, and
is the actual output. What are the new values of the weights after one step of training with the input
=
[
0
,
1
]
and desired output
1
,
using a learning rate
=
0
.
5

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