1、平方差
(a+b)(a-b) = a² - b²
2, mean square error
variance
3, cross entropy
Mean square cross entropy variance
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6. Information:
A, variance, squared difference, standard deviation formula for what is? _ Baidu know .html (https://zhidao.baidu.com/question/688221660902304484.html) The variance is the square of the difference between the respective data from the mean of the sum of the average formula is: s² = 1/n * [(x₁ - x)² + (x₂ - x)² + ... + (xₙ - x)² ] Wherein, x represents the average number of samples, n is the number of samples represented, XI represents the individual, and s ^ 2 on the variance. Squared difference: a²-b² = (a + b) (ab). Literal expression: the difference between these two numbers and two numbers of the product is equal to the square of the difference between these two numbers. Namely squared difference formula SD: standard deviation = sqrt (((x1-x) ^ 2 + (x2-x) ^ 2 + ...... (xn-x) ^ 2) / n). Is the average squared difference from the root of the arithmetic mean, is represented by σ. The most commonly used in probability and statistics as a measure on the degree of statistical distribution. The standard deviation is the square root of the variance of the arithmetic. Standard deviation reflects the degree of dispersion of a data set. B, standard deviation _ Baidu Encyclopedia .html (https://baike.baidu.com/item/%E6%A0%87%E5%87%86%E5%B7%AE/1415772?fr=aladdin) Standard deviation (Standard Deviation), Chinese environment and variance are often called, is a deviation from the mean square root of the arithmetic mean, expressed as σ. The most commonly used in probability and statistics as a measure on the degree of statistical distribution. The standard deviation is the square root of the variance of the arithmetic. Standard deviation reflects the degree of dispersion of a data set. Mean same two sets of data, not necessarily the same standard deviation. C, why the mean square error (MSE) is not suitable for classification problem? Cross-entropy (cross-entropy) is not suitable regression? Blog -CSDN blog .html _weixin_41888969 of (https://blog.csdn.net/weixin_41888969/article/details/89450163) Box -CSDN blog .html cross entropy and the mean square error _DawnRanger (https://blog.csdn.net/dawnranger/article/details/78031793)
7. Information:
Z, σ how to read _ Baidu know .html (https://zhidao.baidu.com/question/332467470.html) Greek alphabet pronunciation 1, Α α: alpha the Alpha
2, Beta beta]: Beta Beta
. 3, gamma] Gamma]: Gamma the Gamma
. 4, [Delta] [delta]: Delta Delte ZC: Translation: delta US [ 'deltə] UK [' deltə]
. 5, [epsilon] Epsilon: Epsilon Epsilon
. 6, [zeta] [zeta]: zeta the zeta
. 7, Epsilon [eta]: ITA of Eta
. 8, [theta] [Theta]: Sita Theta
. 9, iota iota: Aiou Ta the iota
10, [kappa] K0: Kappa the Kappa
. 11, ∧ - [lambda]: lambda the lambda
12 is, [mu] [mu]: Miao Mu
13 is, v v: bend of Nu
14, a Cascade [xi]: Alexis Xi
15, o o: Oumai Ke wheel Omicron
16, [pi] [pi: send Pi
. 17, [rho] [rho]: compliance of Rho
18 is , Σ σ: Sigma Sigma
. 19, [tau] Τ: sets of Tau
20 is, Upsilon [upsilon]: Yu Long Pusey Upsilon
21 is, [Phi] [Phi]: FAI Phi
22 is, [chi] [chi]: is Chi
23 is, [Psi] [Psi]: Phouesay the Psi
24, [Omega] [omega]: Omega Omega
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