"TensorFlow is an open source software library for numerical computation using
data flow graphs. The graph nodes represent mathematical operations, while
the graph edges represent the multidimensional data arrays (tensors) that flow
between them. This flexible architecture lets you deploy computation to one
or more CPUs or GPUs in a desktop, server, or mobile device without rewriting
code. TensorFlow also includes TensorBoard, a data visualization toolkit."
-- words from tensorflow documentation
See Installing TensorFlow for instructions on how to install our release binaries or how to build from source.
$ python
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> sess.run(hello)
'Hello, TensorFlow!'
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a + b)
42
>>> sess.close()
see the file in action gettingstarted.py
I would recommend to follow this guide
The guide is for begineers and really helpful to follow next.
Now Let's see the 5 layered neural network here
Now on increasing one more hidden layer, check this out