Initial commit

architectures/ResNet18.py

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+
+import torch.nn as nn
+from torchvision import models
+
+# Base model
+from architectures.Model import Model
+
+class ResNet18(Model):
+    
+    def get(self):
+        m = models.resnet18(weights=models.ResNet18_Weights.DEFAULT)
+
+        # freez all layers
+        for param in m.parameters():
+            param.requires_grad = False
+
+        # unfreez the last two
+        for param in m.layer3.parameters(): param.requires_grad = True
+        for param in m.layer4.parameters(): param.requires_grad = True
+        
+        m.fc = nn.Linear(m.fc.in_features, self.size)
+        return m.to(self.device)