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В последнее время мы видим все больше примеров успешного использования методов глубокого обучения для решения практических задач. Проделан большой путь от решения базовой задачи классификации, сделавшей имя глубокому обучению, до более полезных решений, таких как система помощи водителю или автоматический перевод иностранной речи. Последний пример включает расширенное определение языка – использование жестов и мимики вместо традиционных звуков. Жестовые языки долгое время оставались незамеченными, и машинный перевод на них не распространялся. Это было связано с отсутствием решений, способных распознавать язык жестов в реальном времени с приемлемым качеством.

Спикер на видео рассказывает о разработанном решении на основе методов глубокого обучения – ASLNet, представляет слушателю краткий обзор основных методов легковесного Action Recognition, рассказывает о проблеме распознавания жестов в условиях ограниченного набора данных.

Источник: YouTube-канал ODS AI Ru

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