Deep Learning

This book is about the bleeding-edge field of artificial intelligence and an introduction to deep learning – a subset of machine learning that has been groundbreaking for how computers learn from data. So, the book is a comprehensive introduction that brings us from basic concepts over architectures up to algorithms, where deep learning does its magic. The book's theory uproots readers from basic neural networks to the more complex structures: convolutional and recurrent networks, and the theory and practical applications of those. The book holds fundamental knowledge for a student, a researcher, or a professional on any level to start and propel the development, implementation, and optimization of deep learning models.