精華區beta NTUCH-HW 關於我們 聯絡資訊
inp1=tf.placeholder(tf.float32) inp2=tf.placeholder(tf.float32) outp3=tf.multiply(inp1,inp2) with tf.Session() as sess: #sess.run(ini) #res=sess.run([mul,add]) print(sess.run(outp3,feed_dict={inp1:[8.1,],inp2:[2,]}))