A hands-on and intuitive guide to the foundations of modern deep learning

In Deep Learning: Principles and Implementations, distinguished researcher and professor Weidong “Will” Kuang delivers an up-to-date exploration of how major deep learning algorithms and architectures are formalized and developed from mathematical equations. The book bridges theory and practice and covers a wide range of fundamental topics, including linear regression, logistic regression, basic neura…