# Assuming you've collected and preprocessed your data train_dir = 'path/to/train' validation_dir = 'path/to/validation'
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy']) crax rat
# Fine-tune. Make all layers trainable. for layer in model.layers: layer.trainable = True # Assuming you've collected and preprocessed your data