Complete the code to freeze all layers in a TensorFlow Keras model.
for layer in model.layers: layer.[1] = False
Setting layer.trainable = True or False controls whether the layer's weights are updated during training. To freeze a layer, set trainable = False.
Complete the code to unfreeze only the last layer of the model.
model.layers[-1].[1] = True
trainable to True.To allow training on the last layer, set its trainable property to True.
Fix the error in the code to freeze all layers before compiling the model.
for layer in model.layers: layer.[1] = False model.compile(optimizer='adam', loss='categorical_crossentropy')
The correct property to freeze layers is trainable. Setting trainable = False freezes the layer.
Fill both blanks to freeze all layers except the last one.
for layer in model.layers[:[1]]: layer.[2] = False
Using model.layers[:-1] selects all layers except the last. Setting trainable = False freezes those layers.
Fill all three blanks to freeze the first two layers and unfreeze the rest.
for layer in model.layers[:[1]]: layer.[2] = False for layer in model.layers[[3]:]: layer.trainable = True
Slice model.layers[:2] selects the first two layers to freeze by setting trainable = False. Slice model.layers[2:] selects the rest to unfreeze.