Question: Complete the code in pytorch: Feed Forward and Backpropagation We will implement 3-layer neural network for regression. Following are the equations for feed forward through

Complete the code in pytorch:

Feed Forward and Backpropagation We will implement 3-layer neural network for regression. Following are the

class NeuralNetwork(object): **** We will implement neural network as a python class. Object of this class

# This function just prints a few properties of object created from this class def_str_ (self): msg =

grad_b2 = np.zeros((batch_size, self.b2.shape[0], self.b2.shape [1] )) grad_W2 = np.zeros((batch_size,

?? # Gradient Descent # Update weights and biases using gradients self.W3 = ?? self.b3 = ?? self.W2 = ??

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 = = Wx + b h = 0(21) 22 = Wh1 + b h = 0(2) loss = W3h + b3 - 1 N N (Yi ) 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 full answer

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