Tensorflow Learning note1

import tensorflow as tf#create nodesnode1=tf.constant(3.0,tf.float32)node2=tf.constant(4.0)node3=tf.add(node1,node2)print(node1,node2)sess=tf.Session()print(sess.run([node1,node2]))print("node3:",node3)print("sess.run(node3):",sess.run(node3))#define placeorder which is a promise to provide value latera=tf.placeholder(tf.float32)b=tf.placeholder(tf.float32)adder_node=a+b #that can be considered as hidden logic method#Specify the methodprint(sess.run(adder_node,feed_dict={a:3,b:4.5}))print(sess.run(adder_node,feed_dict={a:[1,3],b:[2,4]}))