A Brief Introduction to Deep Learning and TensorFlow

In this chapter, we're going to briefly introduce deep learning with some examples based on TensorFlow. This topic is quite complex and needs dedicated books; however, our goal is to allow the reader to understand some basic concepts that can be useful before starting a complete course. In the first section, we're presenting the structure of artificial neural networks and how they can be transformed in a complex computational graph with several different layers. In the second one, instead, we're going to introduce the basic concepts concerning TensorFlow and we'll show some examples based on algorithms already discussed in previous chapters. In the last section, we briefly present Keras, a high-level deep learning framework and we build an example of image classification using a convolutional neural network...