effective deep learning - Axtarish в Google
This repository contains materials for the Efficient Deep Learning Systems course taught at the Faculty of Computer Science of HSE University and Yandex ...
This book will go through algorithms and techniques used by researchers and engineers at Google Research, Facebook AI Research (FAIR), and other eminent AI labs ...
16 июн. 2021 г. · This is the first comprehensive survey in the efficient deep learning space that covers the landscape of model efficiency from modeling techniques to hardware ...
17 апр. 2023 г. · This paper comprehensively reviews the state-of-art DL modelling techniques and provides insights into their advantages and challenges.
7 февр. 2023 г. · Below, we highlight an array of works that demonstrate Google Research's efforts in developing new algorithms to address the above challenges.
This course introduces efficient AI computing techniques that enable powerful deep learning applications on resource-constrained devices. Topics include model ... Zhekai Zhang · Guangxuan Xiao · 2023
31 окт. 2023 г. · Effective deep learning experiment design involves clear problem definition, data preprocessing, model selection, hyperparameter tuning, cross- ...
Deep learning has revolutionized the fields of computer vision, natural language understanding, speech recognition, information retrieval, and more.
13 окт. 2022 г. · In this paper, we present a structured and comprehensive overview of the research in this field. First, we formalize the algorithmic speedup problem.
In this paper, we studied a deep neural network to learning effective representation on advertisement recommend.
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