TensorFlow 1.x Deep Learning Cookbook

There's more...

You must be wondering why we have to write so many lines of code for a simple vector addition or to print a small message. Well, you could have very conveniently done this work in a one-liner:

print(tf.Session().run(tf.add(tf.constant([1,2,3,4]),tf.constant([2,1,5,3])))) 

Writing this type of code not only affects the computational graph but can be memory expensive when the same operation ( OP) is performed repeatedly in a for loop. Making a habit of explicitly defining all tensor and operation objects not only makes the code more readable but also helps you visualize the computational graph in a cleaner manner.

Visualizing the graph using TensorBoard is one of the most useful capabilities of TensorFlow, especially when building ...