tensorflow基本操作《03矩陣基礎》

tensorflow基本操作《03矩陣基礎》

代碼

'''
# placehold
import tensorflow as tf
data1=tf.placeholder(tf.float32)
data2=tf.placeholder(tf.float32)
dataAdd=tf.add(data1,data2)

with tf.Session() as sess:
    print(sess.run(dataAdd,feed_dict={data1:2,data2:6}))
    # 1.dataAdd ,2.data (feed_dict = {1:2, 2:6})
print("END!")

'''
# 矩陣： [ ]   每一行是一個 [ ]

import tensorflow as tf
data1=tf.constant([[6,6]])
data2=tf.constant([[6],
                   [6]])
data3=tf.constant([[3,3]])
data4=tf.constant([[1,1],
                   [2,2],
                   [3,3]])
print(data4.shape)

with tf.Session() as sess:
    print(sess.run(data4))
    print(sess.run(data4[0]))   #打印行
    print(sess.run(data4[:,0]))  #打印列
    print(sess.run(data4[0,1]))  #打印列