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cs236课件,Generative models are widely used in many subfields of AI and Machine Learning.Recent advances in parameterizing these models using deep neural networks, combined with progress in stochastic optimization methods, have enabled scalable modeling of complex, high-dimensional data including images, text, and speech
stanford-tensorflow-tutorials; course CS 20: TensorFlow for Deep Learning Research.
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•Bayes theorem • Frequen0st vs. Bayesian • Genera0ve and discrimina0ve models • Learning Bayesian models • Advantages of Bayesian ML models
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