Book of Donmon Teith

A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing task

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively mode

Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonpa