Designing deep learning systems. A guide for software engineers

The convenience of practical application of deep learning model implies that it is embedded in a software system. Software engineers need to have a clear understanding of deep learning technology in order to be able to develop such systems. This book will teach you everything you need to know to design and implement a production-ready deep learning platform. Firstly, it presents a general plan of the deep learning system from a developer's perspective, including its main components and the nature of their interaction. Secondly, it meticulously familiarizes you with the engineering methods necessary for developing your own user-friendly, technically supported, efficient, and scalable deep learning platforms. This edition is suitable for software developers and data researchers with an engineering background. Examples are provided in Java and Python.