艺术
发表于 2025-3-30 12:09:20
Gaussian Mixture Modelsn random variables and mixture-of-Gaussian random variables. Both scalar and vector-valued cases are discussed and the probability density functions for these random variables are given with their parameters specified. This introduction leads to the Gaussian mixture model (GMM) when the distribution
不怕任性
发表于 2025-3-30 14:47:24
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眨眼
发表于 2025-3-30 17:37:14
Deep Neural Networkseech recognition systems, and are the focus of the rest of the book. We depict the architecture of DNNs, describe the popular activation functions and training criteria, illustrate the famous backpropagation algorithm for learning DNN model parameters, and introduce practical tricks that make the tr