A wrapper that slows down the updates of trainable weights.
pip install keras-succ-reg-wrapperimport keras
from keras_succ_reg_wrapper import SuccReg
input_layer = keras.layers.Input(shape=(1,), name='Input')
dense_layer = SuccReg(
layer=keras.layers.Dense(units=1, name='Dense'),
regularizer=keras.regularizers.L1L2(l2=1e-3), # Any regularizer
name='Output',
)(input_layer)
model = keras.models.Model(inputs=input_layer, outputs=dense_layer)
model.compile(optimizer='adam', loss='mse')
model.summary()
