Hardware-Aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
English | 2021 | ISBN: 3030740412 | 175 Pages | PDF EPUB | 24 MB
English | 2021 | ISBN: 3030740412 | 175 Pages | PDF EPUB | 24 MB
This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the overarching goal of balancing the two optimally.