Lines Matching full:tanh

78     y = x - d*tf.math.tanh(x/(.1+d))
205 … enc_dense1 = Dense(cond_size2, activation='tanh', kernel_constraint=constraint, name='enc_dense1')
207 … enc_dense3 = Dense(cond_size2, activation='tanh', kernel_constraint=constraint, name='enc_dense3')
209 … enc_dense5 = Dense(cond_size2, activation='tanh', kernel_constraint=constraint, name='enc_dense5')
211 …  enc_dense7 = Dense(cond_size, activation='tanh', kernel_constraint=constraint, name='enc_dense7')
212 …  enc_dense8 = Dense(cond_size, activation='tanh', kernel_constraint=constraint, name='enc_dense8')
229     global_dense1 = Dense(128, activation='tanh', name='gdense1')
230     global_dense2 = Dense(nb_state_dim, activation='tanh', name='gdense2')
242 … dec_dense1 = Dense(cond_size2, activation='tanh', kernel_constraint=constraint, name='dec_dense1')
244 … dec_dense3 = Dense(cond_size2, activation='tanh', kernel_constraint=constraint, name='dec_dense3')
246 … dec_dense5 = Dense(cond_size2, activation='tanh', kernel_constraint=constraint, name='dec_dense5')
248 …  dec_dense7 = Dense(cond_size, activation='tanh', kernel_constraint=constraint, name='dec_dense7')
249 …  dec_dense8 = Dense(cond_size, activation='tanh', kernel_constraint=constraint, name='dec_dense8')
258     gru_state1 = Dense(cond_size, name="state1", activation='tanh')(gru_state_input)
259     gru_state2 = Dense(cond_size, name="state2", activation='tanh')(gru_state_input)
260     gru_state3 = Dense(cond_size, name="state3", activation='tanh')(gru_state_input)