Comments (2)
I could get it working by changing the code in mann_sentiment_analysis.py
layers
if self.activity_regularizer:
encoding = Dense(self.n_hiddens,
activation='sigmoid',
name='encoded'
)
self.activity_regularizer.set_layer(encoding)
else:
encoding = Dense(self.n_hiddens,
activation='sigmoid',
name='encoded')
prediction = Dense(2,
activation='softmax',
name='pred')
# encoding
encoded_s = encoding(input_s)
encoded_t = encoding(input_t)
# prediction
pred_s = prediction(encoded_s)
pred_t = prediction(encoded_t)
# model definition
self.nn = Model(input=[input_s,input_t],
output=[pred_s,pred_t])
if self.activity_regularizer:
self.nn.get_layer('encoded').activity_regularizer=self.activity_regularizer
from mann.
Thank you for the solution!
from mann.
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from mann.