Complete the code in pytorch: Feed Forward and Backpropagation We will implement 3-layer neural network for regression.
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Complete the code in pytorch:
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Feed Forward and Backpropagation We will implement 3-layer neural network for regression. Following are the equations for feed forward through network. We are using sigmoid as activation function and mean-squared-error as loss. 21 = = W₁x + b₁ h₁ = 0(21) 22 = W₂h1 + b₂ h₂ = 0(2₂) loss ŷ = W3h₂ + b3 - 1 N N (Yi – Î₁ ) ² i=1 where N is batch size Act Go Feed Forward and Backpropagation We will implement 3-layer neural network for regression. Following are the equations for feed forward through network. We are using sigmoid as activation function and mean-squared-error as loss. 21 = = W₁x + b₁ h₁ = 0(21) 22 = W₂h1 + b₂ h₂ = 0(2₂) loss ŷ = W3h₂ + b3 - 1 N N (Yi – Î₁ ) ² i=1 where N is batch size Act Go
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python import numpy as np class NeuralNetworkobject def initself inputsize2 hiddensize3 outputsize1 selfinputsize inputsize selfhiddensize hiddensize ... View the full answer
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