training deep leaning models finallywith all the necessary building blocks in placeit is time to define our neural network and leverage the preceding helper functions to train and evaluate the deep learning model we will begin with vanilla neural network with no regularizerswe will later experiment by adding and dropout to study the effectand take the best one to make predictions listing - defines the structure of our neural network listing - defining the structure of the neural network #define neural network class neuralnetwork(nn module)def __init__(self)super(__init__(tch manual_seed( self fc nn linear( self fc nn linear( self fc nn linear( self out nn linear( self relu nn relu(self final nn sigmoid(def forward(selfx)op self fc (xop self relu(opop self fc (opop self relu(opop self fc (opop self relu(opop self out(opy self final(opreturn