In the past few years, we have seen remarkable progress in the field of AI (deep learning). Today, deep learning is the cornerstone of many advanced technological applications, from self-driving cars to generating art and music. Scientists aim to help computers to not only understand speech but also speak in natural languages. Deep learning is a kind of machine learning method that is based on learning data representation as opposed to task-specific algorithms. Deep learning enables the computer to build complex concepts from simpler and smaller concepts. For example, a deep learning system recognizes the image of a person by combining lower label edges and corners and combines them into parts of the body in a hierarchical way. The day is not so far away when deep learning will be extended to applications that enable machines to think on their own.
In this chapter, we will cover the following topics:
- Building blocks of a neural network
- Introduction to TensorFlow
- Introduction to Keras
- Backpropagation
