
Автор: Avik Santra, Souvik Hazra, Lorenzo Servadei
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 332
Язык: английский
Формат: pdf (true)
Размер: 16.7 MB
Introduces multiple state-of-the-art Deep Learning architectures for mmwave radar in a variety of advanced applications. Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of Artificial Intelligence (AI)-based processing for various mmwave radar applications. Focusing on practical Deep Learning techniques, this comprehensive volume explains the fundamentals of Deep Learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of Machine Learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready Deep Learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based Deep Learning solution.