In [65]:

    

import tensorflow as tf
import numpy as np


    

In [2]:

    

a = tf.constant(2)
b = tf.constant(3)
c = a + b


    

In [3]:

    

print(c)


    

    




Tensor("add:0", shape=(), dtype=int32)

In [5]:

    

with tf.Session() as sess:
    print(sess.run(c))


    

    




5

In [56]:

    

a = tf.placeholder(shape=(), dtype = tf.int32)


    

In [57]:

    

b = tf.placeholder(shape=(),dtype = tf.int32)


    

In [58]:

    

c = tf.add(a, b)


    

In [59]:

    

print(c)


    

    




Tensor("Add_7:0", shape=(), dtype=int32)

In [60]:

    

with tf.Session() as sess:
    print(sess.run(c, feed_dict={a:3, b:4}))


    

    




7

In [61]:

    

a = tf.placeholder(shape=(2,), dtype=tf.int32)
b = tf.placeholder(shape=(2,), dtype=tf.int32)
c = a + b


    

In [62]:

    

with tf.Session() as sess:
    print(sess.run(c, feed_dict={a:[1,1], b:[2,2]}))


    

    




[3 3]

In [63]:

    

a = tf.placeholder(shape=(2,2), dtype=tf.int32)
b = tf.placeholder(shape=(2,2), dtype=tf.int32)
c = a+b


    

In [64]:

    

with tf.Session() as sess:
    print(sess.run(c, feed_dict={a: [[1,1],[1,1]], b: [[2,2],[2,2]]}))


    

    




[[3 3]
 [3 3]]

In [73]:

    

a = np.array([1,2,3])


    

In [74]:

    

a.shape


    

    
Out[74]:





(3,)

In [75]:

    

b = np.array([[1,1],[2,2]])


    

In [76]:

    

b.shape


    

    
Out[76]:





(2, 2)

In [77]:

    

c = np.array(3)


    

In [78]:

    

c.shape


    

    
Out[78]:





()

In [82]:

    

c  # 스칼라(0차원 텐서)


    

    
Out[82]:





array(3)

In [83]:

    

a #벡터 (1차원 텐서)


    

    
Out[83]:





array([1, 2, 3])

In [84]:

    

b #행렬 (2차원 텐서)


    

    
Out[84]:





array([[1, 1],
       [2, 2]])

In [87]:

    

d = np.array([[[1,2],[2,3]],[[3,4],[2,3]]])


    

In [88]:

    

d.shape  #3차원 텐서


    

    
Out[88]:





(2, 2, 2)

In [89]:

    

d


    

    
Out[89]:





array([[[1, 2],
        [2, 3]],

       [[3, 4],
        [2, 3]]])

In [90]:

    

a = np.array([[1,1],[1,1]])


    

In [91]:

    

b = np.array([[2,2],[2,2]])


    

In [92]:

    

a.shape


    

    
Out[92]:





(2, 2)

In [93]:

    

a


    

    
Out[93]:





array([[1, 1],
       [1, 1]])

In [94]:

    

b


    

    
Out[94]:





array([[2, 2],
       [2, 2]])

In [95]:

    

c=a+b


    

In [96]:

    

c


    

    
Out[96]:





array([[3, 3],
       [3, 3]])

In [97]:

    

a = np.array([3,3])


    

In [98]:

    

a


    

    
Out[98]:





array([3, 3])

In [99]:

    

c = np.dot(a,b)


    

In [100]:

    

c


    

    
Out[100]:





array([12, 12])

In [ ]: