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The course on Representation Learning, taught by Professor Pramod Viswanath, focuses on obtaining lower dimensional representations of high-dimensional data using various methods including parametric and geometric approaches. It covers four main modules: Dimensionality Reduction Methods, Mixture Models, Neural Networks, and Representation Methods, with a strong emphasis on practical programming skills in TensorFlow and Python. Prerequisites include mathematical maturity and programming proficiency, and grad

Author

roger.chemoul865

Language

EN