From 8e08709d8221357f4615f792d3f90807eadd2e13 Mon Sep 17 00:00:00 2001
From: Abhinav M Hari <66298497+Thelonenlyhobbist@users.noreply.github.com>
Date: Mon, 15 Jun 2020 18:51:25 +0530
Subject: [PATCH 1/2] task2

It took me a while to figure out the convolutions and layers, but now I am good with it.
---
 Tasks/daily tasks/Abhinav M Hari/task 2.py | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 Tasks/daily tasks/Abhinav M Hari/task 2.py

diff --git a/Tasks/daily tasks/Abhinav M Hari/task 2.py b/Tasks/daily tasks/Abhinav M Hari/task 2.py
new file mode 100644
index 0000000..e1bdd4c
--- /dev/null
+++ b/Tasks/daily tasks/Abhinav M Hari/task 2.py	
@@ -0,0 +1,18 @@
+import torch
+import torch.nn as nn
+
+class Net(nn.Module):
+  def __init__(self):
+  super(Net, self). __init__()
+  self.layer1 = nn.Linear(120, 84)
+  self.layer2 = nn.Linear(84, 10)
+  
+  def forward(self, x):
+    x = torch.sigmoid(self.layer1(x))
+    x = self.layer2(x)
+
+net = Net()
+input = torch.randn(120)
+output = net(input)
+print(output)
+  

From 77cbfcec4ad31782655b917a58750818243b4b34 Mon Sep 17 00:00:00 2001
From: Abhinav M Hari <66298497+Thelonenlyhobbist@users.noreply.github.com>
Date: Mon, 15 Jun 2020 19:06:52 +0530
Subject: [PATCH 2/2] Changing sigmoid function order

Just deleted sigmoid function applied to layer 1 and applied sigmoid function to layer 2
---
 Tasks/daily tasks/Abhinav M Hari/task 2.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Tasks/daily tasks/Abhinav M Hari/task 2.py b/Tasks/daily tasks/Abhinav M Hari/task 2.py
index e1bdd4c..88e9ef8 100644
--- a/Tasks/daily tasks/Abhinav M Hari/task 2.py	
+++ b/Tasks/daily tasks/Abhinav M Hari/task 2.py	
@@ -8,8 +8,8 @@ def __init__(self):
   self.layer2 = nn.Linear(84, 10)
   
   def forward(self, x):
-    x = torch.sigmoid(self.layer1(x))
-    x = self.layer2(x)
+    x = self.layer1(x)
+    x = torch.sigmoid(self.layer2(x))
 
 net = Net()
 input = torch.randn(120)