<prompt> Kuanzisha mtandao wa neva kwa mfano wa perceptron wa tabaka nyingi kwa kutumia pytorch.  <response>: Heres an example of initializing a neural network for a multilayer perceptron model using PyTorch: pythonimport torch.nn as nnclass MLPnn.Module: def __init__self, input_size, hidden_size, output_size: superMLP, self.__init__ self.fc1 nn.Linearinput_size, hidden_size self.relu nn.ReLU self.fc2 nn.Linearhidden_size, output_size self.softmax nn.Softmaxdim1 def forwardself, x: out self.fc1x out self.reluout out self.fc2out out self.softmaxout return outThis code defines an MLP network with one hidden layer, an input layer of size input_size, a hidden layer of size hidden_size, and an output layer of size output_size. The __init__ method initializes the layers of the network. The first linear layer self.fc1 takes an input of size input_size and outputs a hidden layer of size hidden_size. The ReLU activation function self.relu is applied to the output of self.fc1. The second linear layer self.fc2 takes as input the result of the ReLU activation and outputs a layer of size output_size. Finally, the softmax activation function self.softmax is applied to the output of the self.fc2 layer.The forward method defines the forward pass through the network, taking an input x and passing it through the layers defined in __init__. The output of the final layer is then returned. 