add first CNN, gitignore and requirements.txt

modelOne.py

@@ -0,0 +1,31 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F 
+
+class modelOne(nn.Module) :
+    def __init__(self, noOfClasses=39):
+        super(modelOne, self).__init__()
+
+        self.conv1 = nn.Conv2d(3, 6, 5)
+        self.batchNorm1 = nn.BatchNorm2d(6)
+        self.pool = nn.MaxPool2d(2, 2)
+
+        self.conv2 = nn.Conv2d(6, 16, 5, padding=2)
+        self.batchNorm2 = nn.BatchNorm2d(16)
+
+        self.fc1 = nn.Linear(16*64*64, 512)
+        self.dropout = nn.Dropout(0.5)
+
+        self.fc2 = nn.Linear(512, 84)
+        self.fc3 = nn.Linear(84, noOfClasses)
+
+    def forward(self, x) :
+        x = self.pool(F.relu(self.batchNorm1(self.conv1(x))))
+        x = self.pool(F.relu(self.batchNorm2(self.conv2(x))))
+        x = torch.flatten(x, 1)
+        x = self.dropout(x)
+        x = F.relu(self.fc1(x))
+        x = F.relu(self.fc2(x))
+        x = self.fc3(x)
+
+        return x