# Priyanka Kasture | pkasture2010@gmail.com


import tensorflow as tf
# TensorFlow is an open-source machine learning library for research and production


# tf.constant() holds constant values
hello = tf.constant('Hello, TensorFlow!')

# Starting a session in which the computations take place
# The code creates a session instance, sess, using tf.Session()
sess = tf.Session()

# The sess.run() function then evaluates the tensor and returns the results, wich are then printed
print(sess.run(hello))

55313c4166a52b040604c2c6eb0c338c909c2559
<mask token>

<mask token>
print(sess.run(hello))

<mask token>
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

# Priyanka Kasture | pkasture2010@gmail.com


import tensorflow as tf
# TensorFlow is an open-source machine learning library for research and production


# tf.constant() holds constant values
hello = tf.constant('Hello, TensorFlow!')

# Starting a session in which the computations take place
# The code creates a session instance, sess, using tf.Session()
sess = tf.Session()

# The sess.run() function then evaluates the tensor and returns the results, wich are then printed
print(sess.run(hello))
