Perform 3 training steps of the Hebbian learning rules m find the optimal weights using the continuous activation function f (net) = m —1and the following data specifying the initial weights W = 1; Wf = —1; W = 0; W) =05 ,and the training inputs: X [ X2 | X, | -2 1.8 |0 5
Perform 3 training steps of the Hebbian learning rules m find the optimal weights using the continuous activation function f (net) = m —1and the following data specifying the initial weights W = 1; Wf = —1; W = 0; W) =05 ,and the training inputs: X [ X2 | X, | -2 1.8 |0 5
Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Perform 3 training steps of the Hebbian learning rules m find the optimal weights using the continuous activation function f (net) = m —1and the following data specifying the initial weights W = 1; Wf = —1; W = 0; W) =05 ,and the training inputs: X [ X2 | X, | -2 1.8 |0 5
![Perform 3 training steps of the Hebbian learning rules to find the optimal weights
using the continuous activation function f (net)
data specifying the initial weights W = 1; W = -1; wg = 0; W 0.5, and
the training inputs:
2
1+e-net
-1 and the following
X X, X X4
1.
-2
1.5 0
-0.5 -2
-1.5
1.5
1
1
-1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F66ad8ced-ac45-4d20-ae10-e0afccee5d9c%2F8dccdbd2-62c6-43f1-9d67-84b08a7c4dcf%2Fx6gf2wf_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Perform 3 training steps of the Hebbian learning rules to find the optimal weights
using the continuous activation function f (net)
data specifying the initial weights W = 1; W = -1; wg = 0; W 0.5, and
the training inputs:
2
1+e-net
-1 and the following
X X, X X4
1.
-2
1.5 0
-0.5 -2
-1.5
1.5
1
1
-1
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