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An introductory tour of machine learning applications implemented with the Knet framework in Julia. Sessions demonstrate visual question answering, handwriting recognition, sentiment analysis, language modeling, and image classification, giving newcomers a sense of what models can do and how they are expressed in Julia code. Suited to learners new to machine learning who have some programming background.
