Task_3

Tasks/daily tasks/Sourav_Menon/task3.py

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+import torch
+import torch as nn
+
+#creating a class as Net
+class Net(nn.module):
+
+  def __init__(self,input_layer,hidden_layer1,hidden_layer2,output_layer):
+
+    super(Net,self).__init__() 
+    self.t1=nn.Linear(input_size,hiden_layer1)
+
+    self.f1=nn.sigmoid()
+
+    self.t2=nn.Linear(hidden_layer1,hiddenl_layer2)
+
+    self.f2=nn.sigmoid()
+
+    self.t3=nn.linear(hidden_layer2,output_layer)
+
+
+  def forward(self,x):
+    x=self.t1(x)
+    x=self.f1(x)
+    x=self.t2(x)
+    x=self.f2(x)
+    x=self.t3(x)
+
+   return x
+
+