In [1]:

    

#Placeholders: Feed data later and build the graph now.

import tensorflow as tf

x = tf.placeholder("float", None)
y = x*2

with tf.Session() as session:
    result = session.run(y, feed_dict={x:[1,2,3]})
    print(result)


    

    




[ 2.  4.  6.]

In [4]:

    

x = tf.placeholder("float", None)  # None :  Any number of dimension
y = x*2

with tf.Session() as session:
    xData = [
        [1, 2, 3],
        [4, 5, 5]
    ]
    result = session.run(y, feed_dict={x:xData})
    print(result)


    

    




[[  2.   4.   6.]
 [  8.  10.  10.]]

In [5]:

    

# Graphs are created for the operations and the variables.
# The variables are called tensors.


    

In [10]:

    

session = tf.InteractiveSession()
x = tf.constant(list(range(10)))
print(x.eval())
session.close()


    

    




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