learning_rate = tf.placeholder(tf.float32, shape=[])
train_step = tf.train.GradientDescentOptimizer(learning_rate=learning_rate
    ).minimize(mse)
sess = tf.Session()
sess.run(train_step, feed_dict={learning_rate: 0.1})
sess.run(train_step, feed_dict={learning_rate: 0.1})
sess.run(train_step, feed_dict={learning_rate: 0.01})
sess.run(train_step, feed_dict={learning_rate: 0.01})
Как установить адаптивную скорость обучения для GradientDescentOptimizer?