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interfere with the patient and allow capturing a wide range of exercises. Besides, t he use of a deep learning approach can capture the most significant features leading to highly accurate human pose
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interfere with the patient and allow capturing a wide range of exercises. Besides, t he use of a deep learning approach can capture the most significant features leading to highly accurate human pose
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study cycle or non-award courses of Higher Education Institutions. Preference factors: Top-level publications Minimum requirements: Good knowledge of Python and Deep Learning; Experience with tensor flow
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. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Literature review on anomaly detection in network data; Using deep
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of the previous design and corresponding integration with high-performance computing applications, including deep learning engines, key-value stores, scientific applications, and more.; - Experimental evaluation of