Keras Freeze Layers

Freezes the parameters of the selected layers. If the model is trained afterwards, the parameters of the selected layers are not updated. All other layers are set to trainable.

Options

Freeze Layers

Not trainable layers

The list contains the layer names of the layers that should not be trainable in the output network.

Enforce inclusion

Select to force the list of not trainable layers not to change. Even if other layers are added to the input network. Other layers are then added to the trainable layers list.

Trainable layers

The list contains the layer names of the layers that should be trainable in the output network.

Enforce exclusion

Select to force the list of trainable layers not to change. Even if other layers are added to the input network. Other layers are then added to the not trainable layers list.

Wildcard/Regex Selection

Use a wildcard or regular expression to select the layers which should be not trainable.

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Workflows

• 00_Keras_Transfer_LearningKNIME Hub
• 00_Keras_Transfer_LearningKNIME Hub
• 03_Fine-tune_ResNet50KNIME Hub
• Plant Disease PredictionKNIME Hub
• Train-VGG16-binaryKNIME Hub
• Show all 10 workflows

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