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SUMAS Admission
Intro to machine learning and neural networks: supervised learning, linear models for regression, basic neural network structure, simple examples and motivation for deep networks, introduction to tensorflow, simple Machine Learning examples, as well as basic neural network architectures and learning algorithms, for applications in pattern recognition, image processing, and computer vision.