دانلود کتاب یادگیری عمیق در محاسبات بصری

Deep learning is an artificially intelligent entity that teaches itself to make predictions following a training phase through an intensive data driven algorithm. Deep learning, through the adoption of artificial neural networks, functions much like the human brain to classify and analyse data. Deep learning has enabled to solve many challenging problems in the area of visual computing. From object detection to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. Thus, with most traditional image processing and computer vision techniques effectively being replaced by deep learning techniques it has proved to have the potential to solve many of the most challenging problems in visual computing.

This book provides an insight into the world of deep learning applicable to the field of visual computing. The book provides easy to understand explanations on the theory and architectures behind deep learning. To help the reader better grasp the concepts of deep learning and how it can be applied in real life, the book is then supplemented with a number of real-life examples which range from face recognition to cancer image classification. The book is written to serve as a recipe for thought provoking and as a source of inspiration for enthusiasts in developing and implementing their own artificial intelligence powered projects in the field of visual computing.