

In [12]:

    
import tensorflow as tf

Hello, Tensor World!



In [13]:

    
# Create TensorFlow object called tensor
hello_constant = tf.constant('Hello World!')



In [14]:

    
with tf.Session() as sess:
    # Run the tf.constant operation in the session
    output = sess.run(hello_constant)
    print(output)









    



b'Hello World!'



In [15]:

    
# A is a 0-dimensional int32 tensor
A = tf.constant(1234)



In [16]:

    
with tf.Session() as sess:
    # Run the tf.constant operation in the session
    output = sess.run(A)
    print(output)



In [17]:

    
# B is a 1 dimentional int32 tensor
B = tf.constant([123,456,789])



In [18]:

    
with tf.Session() as sess:
    # Run the tf.constant operation in the session
    output = sess.run(B)
    print(output)









    



[123 456 789]



In [19]:

    
# C is a 2-dimensional int32 tensor
C = tf.constant([[123,456,789],[222,333,444]])



In [20]:

    
with tf.Session() as sess:
    # Run the tf.constant operation in the session
    output = sess.run(C)
    print(output)









    



[[123 456 789]
 [222 333 444]]



In [21]:

    
with tf.Session() as sess:
    print(sess.run(hello_constant))
    print(sess.run(A))
    print(sess.run(B))
    print(sess.run(C))









    



b'Hello World!'
1234
[123 456 789]
[[123 456 789]
 [222 333 444]]

TensorFlow Input



In [27]:

    
x = tf.placeholder(tf.string)

with tf.Session() as sess:
    output = sess.run(x, feed_dict={x: 'Hello World'})
    print(output)









    



Hello World



In [40]:

    
x = tf.placeholder(tf.string)
y = tf.placeholder(tf.int32)
z = tf.placeholder(tf.float32)

with tf.Session() as sess:
    output = sess.run(z, feed_dict={x: 'Test String', y: 123, z: 45.67})
    print(output)
    print(x)
    print(y)
    print(z)









    



45.66999816894531
Tensor("Placeholder_42:0", dtype=string)
Tensor("Placeholder_43:0", dtype=int32)
Tensor("Placeholder_44:0", dtype=float32)

Quiz 1 - TensorFlow Input



In [53]:

    
def run():
    output = None
    x = tf.placeholder(tf.int32)
    
    with tf.Session() as sess:
        output = sess.run(x, feed_dict={x: 123})
        print(output)
        
    return output



In [54]:

    
output = None
x1 = tf.placeholder(tf.int32)

with tf.Session() as sess:
    output = sess.run(x1, feed_dict={x1: 123})
    print(output)