Lecture 5: Gaussian Discriminant Analysis, Naive BayesS P(A) is the probability that event A happens It is a function that maps the event A onto the interval [0, 1]. P(A) is also called the probability measure of A Kolmogorov axioms Non-negativity: p(A) − λ)f (x2) where λ ∈ [0, 1] Jensen’s Inequality Let f (x) be a convex function defined on an interval I. If x1, x2, · · · , xN ∈ I and λ1, λ2, · · · , λN ≥ 0 with �N i=1 λi = 1 f ( N � i=1 λixi)0 码力 | 122 页 | 1.35 MB | 1 年前3
Lecture Notes on Gaussian Discriminant Analysis, NaiveJensen’s Inequality Theorem 1. Jensen’s Inequality Let f(x) be a convex function defined on an interval I. If x1, x2, · · · , xN ∈ I and λ1, λ2, · · · , λN ≥ 0 with �N i=1 λi = 1 f( N � i=1 λixi) ≤0 码力 | 19 页 | 238.80 KB | 1 年前3
【PyTorch深度学习-龙龙老师】-测试版202112缓冲池只有大于 2000 就可以训练 train(q, q_target, memory, optimizer) if n_epi % print_interval == 0 and n_epi != 0: for src, dest in zip(q.variables, q_target.variables):0 码力 | 439 页 | 29.91 MB | 1 年前3
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