Given a multiple layer network as shown below W+2=0 W=-1 X 1 y2 W=0 y4 W=1...
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Given a multiple layer network as shown below W+2=0 W₂=-1 X 1 y2 W₁=0 y4 W₁₂=1 1) If the input x=2; what are the outputs of neuron 2, 3, and 4, i.e yz y³ and y? (We use sigmoid function sigm(x)=1/(1+e*) as the activation function of neurons.) W24 2) If the desired output for input x=2 is y4-1, update w²4 and w34 according to the updating rule of neural network. (The learning rate a=0.1)? Please list the details of your calculation. Given a multiple layer network as shown below W+2=0 W₂=-1 X 1 y2 W₁=0 y4 W₁₂=1 1) If the input x=2; what are the outputs of neuron 2, 3, and 4, i.e yz y³ and y? (We use sigmoid function sigm(x)=1/(1+e*) as the activation function of neurons.) W24 2) If the desired output for input x=2 is y4-1, update w²4 and w34 according to the updating rule of neural network. (The learning rate a=0.1)? Please list the details of your calculation.
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The image contains a diagram of a simple neural network and two questions related to the functioning and updating of the network based on the input an... View the full answer
Related Book For
Probability And Statistics For Engineering And The Sciences
ISBN: 9781305251809
9th Edition
Authors: Jay L. Devore
Posted Date:
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