Mastering TensorFlow 1.x

Constants

The constant valued tensors are created using the tf.constant() function that has the following signature:

tf.constant(  value,  dtype=None,  shape=None,  name='Const',  verify_shape=False)

Let's look at the example code provided in the Jupyter Notebook with this book:

c1=tf.constant(5,name='x')c2=tf.constant(6.0,name='y')c3=tf.constant(7.0,tf.float32,name='z')

Let's look into the code in detail:

• The first line defines a constant tensor c1, gives it value 5, and names it x.  
• The second line defines a constant tensor c2, stores value 6.0, and names it y.
• When we print these tensors, we see that the data types of c1 and c2 are automatically deduced by TensorFlow.
• To specifically define a data type, we can use the dtype parameter or place ...