… learning and deeplearning techniques. This paper evaluates the performance of 11 popular machine and deeplearning … according to several performance evaluation metrics including …
… deeplearning and free-of-charge access to a robust GPU. This paper presents a detailed analysis … the feasibility of Colaboratory for accelerating deeplearning applications. To the best …
E Buber, D Banu - 2018 6th International Conference on …, 2018 - ieeexplore.ieee.org
… INTRODUCTION Deeplearning applications are used in many applications that we use in … In this study, performanceanalysis tests were conducted through a deeplearning application …
… the field of deeplearning-based … performanceanalysis of these approaches and discuss the currently available challenging datasets. Moreover, this paper investigates the performance …
AP Pandian - Journal of Soft Computing Paradigm (JSCP), 2021 - scholar.archive.org
… applications of deeplearning algorithms is sentiment analysis. … analysis is carried out and the performance is recorded to determine the best model with respect to the deeplearning …
… performance of deeplearning … the performance of deeplearning models and health-care professionals using the same sample. Additionally, poor reporting is prevalent in deeplearning …
… have been proposed by employing deeplearning (DL) and quantum machine learning (QML) … to uplift the discriminatory performance of these models. Also, the performance of these …
M Abu, A Amir, YH Lean, NAH Zahri… - Journal of Physics …, 2021 - iopscience.iop.org
… aims at developing deeplearning models that can perform steel defect detection and evaluating the potential of transfer learning for this task. In this paper, four types of transfer learning …
S Shi, Q Wang, X Chu - 2018 IEEE 16th Intl Conf on …, 2018 - ieeexplore.ieee.org
… same deep model on the same GPU hardware. In this study, we evaluate the running performance of four stateof-the-art distributed deeplearning … We first build performance models of …