Output the loss/cost function in keras?

[mike...@gmail.com]

I am trying to find the cost function in keras. I am running an LSTM with the loss function "categorical_crossentropy" and I added a regularizer. How do i output what the cost function looks like after my regularizer this for my own analysis?

model = Sequential()
model.add(LSTM(
    NUM_HIDDEN_UNITS,
    return_sequences=True,
    input_shape=(PHRASE_LEN, SYMBOL_DIM),
    kernel_regularizer=regularizers.l2(0.01)
    ))
model.add(Dropout(0.3))
model.add(LSTM(NUM_HIDDEN_UNITS, return_sequences=False))
model.add(Dropout(0.3))
model.add(Dense(SYMBOL_DIM))
model.add(Activation('softmax'))
model.compile(loss='categorical_crossentropy',
    optimizer=RMSprop(lr=1e-03, rho=0.9, epsilon=1e-08))