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placeholder
Tensorflow placeholder is temporarily stored variables.
Tensorflow If you want the incoming data from the outside, it would need to use tf.placeholder (), then transmits the data sess.run (***, feed_dict = {input: **}) in this form.
import tensorflow as tf
# TensorFlow 中需要定义 placeholder 的 type,一般为 float32 类型
input1 = tf.placeholder(tf.float32)
input2 = tf.placeholder(tf.float32)
output = tf.multiply(input1,input2)
with tf.Session() as sess:
print(sess.run(output,feed_dict={input1:[7.],input2:[2.]}))
The last work of traditional values handed over sess.run()
, we need to pass on the values feed_dict()={}
and every one correspondence input.placeholder
and feed_dict={}
are bound together arise.