Unpacking Neural Networks: The Brains Behind Deep Learning

Abstract

The fields of AI and deep learning have broadened their horizons thanks to neural networks, which are now integral to most applications in use today. This chapter provides an informative insight into the world of neural networks, including their origin, the evolution of their principal models, their training mechanisms, and their real-life applications. Neural networks and the underlying technology are analyzed, employing biologically inspired processes for knowledge acquisition from databases. The chapter also details the methods used for training and optimizing neural networks with the results demonstrating how well these models perform in tackling intricate problems. The ethical aspects and the explainability of the retrieved models are discussed, along with their problems and limitations. Finally, sources of research are mentioned, offering a general view on constructing new models and methods for further expanding the applications of neural networks.