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Hopfield network: How to find the stable state?
2019 Community Moderator ElectionNeural Network parse string data?R - Interpreting neural networks plotAdjusting weights in an convolutional neural networkNeural Network accuracy and loss guarantees?Basic backpropagation questionHow are weights represented in a convolution neural network?How the vector of weights assigned to a neural network?Why are autoencoders for dimension reduction symmetrical?What is the dimensionality of the bias term in neural networks?How do you calculate the information capacity of a neural network?
$begingroup$
Having trouble with this practice question:
A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0
Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=
neural-network
$endgroup$
add a comment |
$begingroup$
Having trouble with this practice question:
A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0
Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=
neural-network
$endgroup$
add a comment |
$begingroup$
Having trouble with this practice question:
A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0
Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=
neural-network
$endgroup$
Having trouble with this practice question:
A 4-node Hopfield network is used to store 3 training patterns (1,1,1,1), (1,1,-1,-1) and (-1,-1, 1,1). What would be the state of the network if (1, 1, 1, -1) is presented as the input? Apply asynchronous update to nodes in the following order: node 4, 3, 2, 1 and mark the stable state. Assume: sgn(x)= +1 if x ≥ 0, and sgn(x)= –1 if x < 0, and wjj=0
Hint: Calculate w12=w21= , w13=w31= , w14=w41= , w23=w32= , w24=w42= , w34=w43=
neural-network
neural-network
asked Mar 28 at 23:41
Anon StudentAnon Student
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