دانلود کتاب مهندسی سیستم های یادگیری عمیق

Welcome to Engineering Deep Learning Systems! In the past decade, we have worked with many different machine learning and deep learning systems and teams. Although every scenario is unique, they all use software engineers who are in the process of learning to build these systems. Some of these engineers learn from mentors and colleagues, and some learn from scattered online resources. Either way, the learning progress is slow. And the larger ths system, the more difficult it is to get an understanding of the big picture. In addition to designing and building deep learning systems, we have also written a lot of documentation aimed at helping software engineers to become deep learning system engineers. After repeating the same kind of writing with different teams, we decided to put what we know into a book. Our goal for this book is to help bridge the gap between traditional software engineering and deep learning system engineering. Many developers tasked with building deep learning systems do not have specialized knowledge of the unique needs of these systems. So we want to give those developers everything they need to know to design, build, and maintain effective and efficient systems that support deep learning models and the product development cycle.