Neural Networks with R

What this book covers

Chapter 1, Neural Network and Artificial Intelligence Concepts, introduces the basic theoretical concepts of Artificial Neural Networks (ANN) and Artificial Intelligence (AI). It presents the simple applications of ANN and AI with usage of math concepts. Some introduction to R ANN functions is also covered.

Chapter 2, Learning Processes in Neural Networks, shows how to do exact inferences in graphical models and show applications as expert systems. Inference algorithms are the base components for learning and using these types of models. The reader must at least understand their use and a bit about how they work.

Chapter 3, Deep Learning Using Multilayer Neural Networks, is about understanding deep learning and neural ...