Basic addition in Tensorflow?
<p>I want to make a program where I enter in a set of x1 x2 and outputs a y. All of the tensor flow tutorials I can find start with image recognition. Can someone help me by providing me either code or a tutorial on how to do this in python? thanks in advance. edit- the x1 x2 coordinates I was planning to use would be like 1, 1 and the y would be 2 or 4, 6 and the y would be 10. I want to provide the program with data to learn from. I have tried to learn from the tensorflow website but it seemed way more complex that what I wanted.</p>

<p>Here is a snippet to get you started:</p>

<pre><code>import numpy as np
import tensorflow as tf

#a placeholder is like a variable that you can
#set later
a = tf.placeholder(tf.float32)
b = tf.placeholder(tf.float32)
#build the sum operation
c = a+b
#get the tensorflow session
sess = tf.Session()

#initialize all variables
sess.run(tf.initialize_all_variables())

#Now you want to sum 2 numbers
#first set up a dictionary
#that includes the numbers
#The key of the dictionary
#matches the placeholders
# required for the sum operation
feed_dict = {a:2.0, b:3.0}

#now run the sum operation
ppx = sess.run([c], feed_dict)

#print the result
print(ppx)
</code></pre>

python machine-learning bigdata tensorflow add