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How effective is Transfer Learning method for image classification.

, и . FedCSIS (Position Papers), том 12 из Annals of Computer Science and Information Systems, стр. 3-9. (2017)

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Evaluation of the AQUILA Architecture: Trial Results for Signalling Performance, Network Services and User Acceptance., , , , , , , и . Art-QoS, том 2698 из Lecture Notes in Computer Science, стр. 218-233. Springer, (2003)A practical study of neural network-based image classification model trained with transfer learning method., , и . FedCSIS (Position Papers), том 9 из Annals of Computer Science and Information Systems, стр. 49-56. (2016)Analysis of video delay in Internet TV service over adaptive HTTP streaming., , и . FedCSIS (Position Papers), том 6 из Annals of Computer Science and Information Systems, стр. 143-150. (2015)Emerging technologies for interactive TV.. FedCSIS, стр. 787-793. (2013)How effective is Transfer Learning method for image classification., и . FedCSIS (Position Papers), том 12 из Annals of Computer Science and Information Systems, стр. 3-9. (2017)A context-aware architecture for IPTV services personalization., , , и . J. Internet Serv. Inf. Secur., 3 (1/2): 49-70 (2013)AC algorithms in AQUILA QoS IP network., , , , и . Eur. Trans. Telecommun., 16 (3): 225-232 (2005)Field trial transmission of 1.5 Tb/s superchannel over 875 km, with 250 Gb/s real-time transponders and EDFA amplification., , , , , , , , , и 1 other автор(ы). OFC, стр. 1-3. IEEE, (2017)Measurement-Based Admission Control in the AQUILA Network and Improvements by Passive Measurements., и . Art-QoS, том 2698 из Lecture Notes in Computer Science, стр. 189-202. Springer, (2003)Context-Awareness for IPTV Services Personalization., , и . IMIS, стр. 37-44. IEEE Computer Society, (2012)