This course introduces students to the theory and practice of deep learning for environmental and geoscience applications. The course will cover the basics of deep learning, including neural networks, convolutional neural networks, recurrent neural networks, and generative adversarial networks. The course will also cover the use of deep learning for image analysis, time series analysis, and (briefly) natural language processing. The course will include a mix of lectures, hands-on exercises, and a final project.
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