python - Tensorflow2.0 Keras : Is dropout disabled during testing by default?

Question

我想知道在以下模型中，当我调用 model.evaluate(...). 时是否会禁用 dropout

layers = [tf.keras.layers.Dense(size, activation='relu')
                  for size in (20, 40, 20)]
layers.insert(1, tf.keras.layers.Dropout(0.2))
layers.append(tf.keras.layers.Dense(1, activation="sigmoid"))
model = tf.keras.models.Sequential(layers)
model.compile(
    optimizer=tf.keras.optimizers.Adam(learning_rate=0.0001),
    loss=tf.keras.losses.BinaryCrossentropy())
model.fit(...)
model.evaluate(...) #==> will dropout be deactivated here?

Answer 1

是的，在推理时始终禁用 dropout ( evaluate/predict )。