create unfreeze

unfreeze

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+# Unfreeze some layers
+for layer in base_model.layers[-4:]:
+    layer.trainable = True
+
+# Recompile the model (necessary after modifying layer.trainable)
+model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
+
+# Continue training
+model.fit(train_data, epochs=10, validation_data=validation_data)