Deep learning represents the very cutting edge of Artificial Intelligence (AI). Unlike machine learning, deep learning takes a different approach in making predictions by using a neural network. An artificial neural network is modeled on the human nervous system, consisting of an input layer and an output layer, with one or more hidden layers in between. Each layer consists of artificial neurons working in parallel and passing outputs to the next layer as inputs. The word deep in deep learning comes from the notion that as data passes through more hidden layers in an artificial neural network, more complex features can be extracted.
TensorFlow is an open source, powerful machine learning and deep learning framework developed by Google. In this chapter, we will take a hands-on approach to learning TensorFlow by building a deep learning model with four...
