Hands-On Convolutional Neural Networks with TensorFlow

The TensorFlow way of thinking

Using TensorFlow requires a slightly different approach to programming than what you might be used to using, so let's explore what makes it different.

At their core, all TensorFlow programs have two main parts to them:

• Construction of a computational graph called tf.Graph
• Running the computational graph using tf.Session

In TensorFlow, a computational graph is a series of TensorFlow operations arranged into a graph structure. The TensorFlow graph contains two main types of components:

• Operations: More commonly called ops, for short, these are the nodes in your graph. Ops carry out any computation that needs to be done in your graph. Generally, they consume and produce Tensors. Some ops are special and can ...