In this chapter, we will give an introduction to artificial neural networks (ANNs), which are basically computational models inspired by living brains, and perceptrons, which are the building blocks for ANNs. We will also talk about all of the elements to consider when building a deep neural network model. Then, we will talk about TensorFlow, which is the library that we will use to create these deep neural network models. Finally, we will talk about the core concepts that we need to understand about TensorFlow in order to use these library concepts, such as variables, placeholders, sessions, graphs, and others that are essential for using this library.
The following are the topics that will be covered as we progress:
- Introduction to ANNs
- Elements of a deep neural network
- Installation of and introduction to TensorFlow ...
