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Lecturer Mr. Noah Yoav

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Courses

  • Deep Learning (20219)
  • Course summary:

    Abstract:

    The philosophical idea of artificial intelligence, dating back to the works of McCarthy from the mid-1950’s, is nowadays evolving into reality. Deep learning is demonstrating unprecedented success in a broad range of applications, and its ability to learn complex mappings from data is exploited in a multitude of diverse research areas. The aim of this course is to give the research students the practical tools and the f?unctional understanding of deep learning, in order to help them harness its capabilities in their specific research fields, as well as motivate research on the theory of deep learning. The course will thus provide the fundamental basics of deep learning, along with tools from the state-of-the-art in deep learning, and guidelines for deriving future application-specific data-driven methods.
  • Advanced Digital Signal Processing Laboratory (20338)
  • Course summary:

    Abstract:

    DFT and FFT, VAD, Correlation and Circular Convolution, Digital filter design, Feature Extraction, GMM and DNN.