Lecture 13 | Generative Models

Lecture 13 | Generative Models

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Stanford University School of Engineering • 54K views

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Math topics:
_Mathematical_optimization_##Mathematical optimization##_Maxima_and_minima_##Maxima and minima##_Mathematical_optimization_##Mathematical optimization##_Gradient_descent_##Gradient descent##_Probability_##Probability##_Bayes'_rule_##Bayes' rule##_Probability_##Probability##_Generative_model_##Generative model
Other topics:
_Machine_learning_##Machine learning##_Unsupervised_learning_##Unsupervised learning##_Machine_learning_##Machine learning##_Supervised_learning_##Supervised learning##_Dimensionality_reduction_##Dimensionality reduction##_Artificial_neural_networks_##Artificial neural networks##_Backpropagation_##Backpropagation##_Artificial_neural_network_##Artificial neural network##_Autoencoder_##Autoencoder##_Psychometrics_##Psychometrics##_Factor_analysis_##Factor analysis##_Sampling_(statistics)_##Sampling (statistics)##_Latent_variable_##Latent variable##_Data_##Data##_Test_set_##Test set##_Data_##Data##_Prior_probability_##Prior probability
video-id: 5WoItGTWV54 channel_Stanford_University_School_of_Engineering_