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IEEE/ICACT20210175 Question.2 Questioner: iglee@sungshin.ac.kr 2021-02-09 오후 4:50:46	IEEE/ICACT20210175 Answer.2 Answer by Auhor quandh@vnu.edu.vn 2021-02-09 오후 4:50:46
Thanks for sharing an interesting study. When using deep learning algorithms in the image processing field, a lot of time and computing resources are consumed. In what environment did you experiment in the paper? And how long did it take?	It is my pleasure to answer your question as follows. Our work is a survey, and we only considered a performance measurement, accuracy, for each referred experiment presented. It is true that a deep learning algorithm normally takes more time and computing resources to process, however, the advances in hardware mostly GPUs is accelerating deep learning models, especially those based on CNN architecture and its variations. It is worth noting two interesting papers: (1) Shaohuai Shi el al., 2016: Benchmarking State-of-the-Art Deep Learning Software Tools; (2) Eugenio Gianniti et al., 2019: Performance Prediction of GPU-based Deep Learning Applications; in which they demonstrated deep learning models in different types of GPUs.

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