Without a doubt, neural networks are one of the most elegant forms of computer programming. The traditional method of programming is providing explicit instructions to the computer and dividing complex problems into manageable subtasks. In contrast, we don't instruct the computer how to solve our issue in a neural network. Instead, it takes in facts and figures out how to solve the issue on its own via observational learning. This book will teach you the fundamentals of neural networks and cutting-edge deep learning methods. By the end of the book, you'll have used deep learning and neural networks in your own code to address challenging pattern recognition issues. Further, you'll know enough to apply neural networks and deep learning to your own issues. Readers should have some background in machine learning, statistics, or a similar field. This book is an ideal textbook for advanced undergraduate and graduate level machine learning courses, as well as a useful reference for those attending a research seminar.
