TensorFlow 1.x Deep Learning Cookbook

How to do it...

We proceed with the recipe as follows:

1. We consider a simple example of adding two vectors, we have two inputs vectors v_1 and v_2 they are to be fed as input to the Add operation. The graph we want to build is as follows:

2. The corresponding code to define the computation graph is as follows:

v_1 = tf.constant([1,2,3,4]) v_2 = tf.constant([2,1,5,3]) v_add = tf.add(v_1,v_2)  # You can also write v_1 + v_2 instead 

3. Next, we execute the graph in the session:

with tf.Session() as sess:     prin(sess.run(v_add)) 

The above two commands are equivalent to the following code. The advantage of using with block is that one need not close ...