… INTRODUCTION Deep learning applications are used in many applications that we use in …
In this study, performance analysis tests were conducted through a deep learning application …

… deep learning models for automated detection of diseases in plants suffer from the fatal flaw
that once tested on independent data, their performance … doubles in performance to 98.6% …

… the field of deep learning-based … performance analysis of these approaches and discuss
the currently available challenging datasets. Moreover, this paper investigates the performance …

… learning and deep learning techniques. This paper evaluates the performance of 11 popular
machine and deep learning … according to several performance evaluation metrics including …

… deep learning and free-of-charge access to a robust GPU. This paper presents a detailed
analysis … the feasibility of Colaboratory for accelerating deep learning applications. To the best …

… performance of deep learning … the performance of deep learning models and health-care
professionals using the same sample. Additionally, poor reporting is prevalent in deep learning …

… have been proposed by employing deep learning (DL) and quantum machine learning (QML) …
to uplift the discriminatory performance of these models. Also, the performance of these …

… applications of deep learning algorithms is sentiment analysis. … analysis is carried out
and the performance is recorded to determine the best model with respect to the deep learning …

… Abstract:This paper focuses on the analysis of the application effectiveness of the integration
of deep learning and computer vision technologies. Deep learning achieves a historic …

… same deep model on the same GPU hardware. In this study, we evaluate the running
performance of four stateof-the-art distributed deep learning … We first build performance models of …