resources used - http://learningtensorflow.com/lesson2/

A simple representation of variables and constants in a tf graph

```
In [1]:
```import tensorflow as tf
x = tf.constant(35, name='x')
y = tf.Variable(x + 5, name='y')
model = tf.global_variables_initializer()

Running the graph in a tf session

```
In [2]:
```with tf.Session() as session:
session.run(model)
print(session.run(y))

```
```

```
In [3]:
```import tensorflow as tf
x = tf.Variable(0, name='x')
model = tf.global_variables_initializer()
with tf.Session() as session:
session.run(model)
for i in range(5):
x = x + 1
avg = x/(i+1)
print('x = ',session.run(x))
print('moving avg = ',session.run(avg))

```
```