premier commit

.vscode/settings.json

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+{
+    "python-envs.defaultEnvManager": "ms-python.python:conda",
+    "python-envs.defaultPackageManager": "ms-python.python:conda"
+}

model.py

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+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+class MovieposterNet(nn.Module):
+    def __init__(self):
+        super(MovieposterNet, self).__init__()
+        self.conv1 = nn.Conv2d(1,8,5)
+        self.conv2 = nn.Conv2d(8,16, 5)
+        self.pool = nn.MaxPool2d(2,2)
+        self.fc1 = nn.Linear(256,128)
+        self.fc2 = nn.Linear(128,64)
+        self.fc3 = nn.Linear(64,10)
+
+    def forward(self, x):
+        x = F.relu(self.conv1(x))       # First convolution followed by
+        x = self.pool(x)                # a relu activation and a max pooling#
+        x = F.relu(self.conv2(x))
+        x = self.pool(x)      
+        x=torch.flatten(x,1)
+        x = F.relu(self.fc1(x))
+        x = F.relu(self.fc2(x))
+        x = self.fc3(x)
+        return x
+    
+    
+    def get_features(self, x):
+        x = self.pool(F.relu(self.conv1(x)))
+        x = self.pool(F.relu(self.conv2(x)))
+        x = x.view(-1, 16 * 4 * 4)
+        return x