问TensorFlow，inverse_time_decay里有什么？

EN

decayed_learning_rate = learning_rate / (1 + decay_rate * t)

...
global_step = tf.Variable(0, trainable=False)
learning_rate = 0.1
k = 0.5
learning_rate = tf.train.inverse_time_decay(learning_rate, global_step, k)

# Passing global_step to minimize() will increment it at each step.
learning_step = (
    tf.train.GradientDescentOptimizer(learning_rate)
    .minimize(...my loss..., global_step=global_step)
)