Targeted dropout implemented in Keras
Implementation of Targeted Dropout with tensorflow backend.
pip install keras-targeted-dropout
import keras from keras_targeted_dropout import TargetedDropout model = keras.models.Sequential() model.add(TargetedDropout(input_shape=(None, None), drop_rate=0.4, target_rate=0.4)) model.compile(optimizer='adam', loss='mse') model.summary()
drop_rate: Dropout rate for each pixel.
target_rate: The proportion of bottom weights selected as candidates per channel.
The final dropout rate will be drop_rate times target_rate.
See Fashion MNIST demo.
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Hashes for keras-targeted-dropout-0.3.0.tar.gz