46:39Lesson 1 of 20: Probability for High-Dimensional Data | Fundamentals of Generative Modelling
Intro
A 47-minute video from Applied Data science: “Lesson 1 of 20: Probability for High-Dimensional Data | Fundamentals of Generative Modelling”.
Applied Data science
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46:39
45:48Lesson 2 of 20: Entropy, Cross-Entropy and KL Divergence | Fundamentals of Generative Modelling
Intro
A 46-minute video from Applied Data science: “Lesson 2 of 20: Entropy, Cross-Entropy and KL Divergence | Fundamentals of Generative Modelling”.
47:51Lesson 3 of 20: Training Models in Code | Fundamentals of Generative Modelling
Intro
A 48-minute video from Applied Data science: “Lesson 3 of 20: Training Models in Code | Fundamentals of Generative Modelling”.
43:43Lesson 4 of 20: Monte Carlo and Importance Sampling | Fundamentals of Generative Modelling
Intro
A 44-minute video from Applied Data science: “Lesson 4 of 20: Monte Carlo and Importance Sampling | Fundamentals of Generative Modelling”.
41:52Lesson 5 of 20: Masks and Attention | Fundamentals of Generative Modelling
Intro
A 42-minute video from Applied Data science: “Lesson 5 of 20: Masks and Attention | Fundamentals of Generative Modelling”.