Этот курс научит вас строить сверточные нейронные сети и использовать их для обработки изображений. Благодаря глубокому обучению машинное зрение сегодня работает намного лучше, чем всего лишь два года назад, и это позволяет использовать его в самых разных отраслях, начиная от безопасного автономного вождения и точного распознавания лиц и заканчивая автоматической интерпретацией рентгеновских снимков.
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There are 4 modules in this course
Вы научитесь использовать базовые слои сверточных нейронных сетей (субдискретизирующие и сверточные) и правильно укладывать их в глубокую сеть для решения задач по многоклассовой классификации изображений.
What's included
12 videos4 readings1 assignment2 programming assignments2 ungraded labs
Знакомство с практическими приемами и методами, описанными в научных работах по глубоким сверточным нейросетям
What's included
11 videos1 reading1 assignment1 programming assignment2 ungraded labs
Получение навыков применения знаний о сверточных нейронных сетях к одной из самых сложных, но актуальных областей машинного зрения: обнаружению объектов.
What's included
10 videos2 readings1 assignment1 programming assignment1 ungraded lab
Узнайте, как сверточные нейронные сети могут применяться в различных областях, включая построение изображений и распознавание лиц. Реализуйте свой собственный алгоритм для построения изображения и распознавания лиц!
What's included
11 videos3 readings1 assignment2 programming assignments2 ungraded labs
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Recommended if you're interested in Machine Learning
Coursera Project Network
University of Virginia
Macquarie University
University of California, Irvine
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