diff --git a/Tasks/daily tasks/sreeraj/day4.py b/Tasks/daily tasks/sreeraj/day4.py
new file mode 100644
index 0000000..85d0d37
--- /dev/null
+++ b/Tasks/daily tasks/sreeraj/day4.py	
@@ -0,0 +1,37 @@
+import torch
+import torch.nn as nn
+import torch.optim as optim
+
+class Net(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.h1 = nn.Linear(3, 6)
+        self.h2 = nn.Linear(6, 6)
+        self.op = nn.Linear(6, 1)
+        self.sigmoid = nn.Sigmoid()
+    
+  
+    def forward(self, x):
+        x = self.sigmoid(self.h1(x))
+        x = self.sigmoid(self.h2(x))
+        x = self.op(x)
+        return x
+     
+
+ip = torch.randn(4, 3)
+op = torch.randn(4, 1)
+
+model = Net()
+epoch = 10000
+optimizer = optim.SGD(model.parameters(), lr=0.01)
+criterion = nn.MSELoss()
+
+for i in range(epoch):
+    out = model(ip)
+    loss = criterion(out, op)
+    model.zero_grad()
+    loss.backward()
+    optimizer.step()
+  
+print("Loss : ", loss)
+print("Prediction : ", out)