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gradient descent in Chinese

Pronunciation:
How to pronounce "gradient descent""gradient descent" in a sentence

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  • 梯度下降

Examples

  • Is based on the idea of gradient descent
    規(guī)則是基于梯度降落這樣一種思路。
  • Based on gradient descent rule , the bp ( back propagation ) algorithm is a local optimization algorithm
    Bp算法基于梯度下降原理，是一種局部尋優(yōu)算法。
  • A comparative study on some typical improved models of bp networks , which based on gradient descent and numerical optimization are proposed
    全局優(yōu)化改進(jìn)策略從基于網(wǎng)絡(luò)模型的優(yōu)化和基于網(wǎng)絡(luò)算法的優(yōu)化兩個(gè)方面考慮。
  • The weights are trained with gradient descent method . the increase algorithm of bvs , and restricted algorithm , was induced
    利用梯度下降法對(duì)網(wǎng)絡(luò)的權(quán)值進(jìn)行訓(xùn)練，并且推導(dǎo)了bvs的增長(zhǎng)算法，以及網(wǎng)絡(luò)訓(xùn)練的限制記憶遞推公式。
  • The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error
    其實(shí)質(zhì)是采用梯度下降法使權(quán)值的改變總是朝著誤差變小的方向改進(jìn)，最終達(dá)到最小誤差。
  • The parameter of local model can be calculated by gradient descent in neighborhood with the sofm weight together , or estimated by least - squared estimation ( lse )
    局部模型的參數(shù)既可和映射網(wǎng)絡(luò)權(quán)值一起在鄰域內(nèi)采用梯度下降法修正，也可結(jié)合最小二乘法得到其最佳估計(jì)。
  • Video technol . , aug . 1994 , 4 : 438 - 442 . 4 liu l k , peig e . a block - based gradient descent search algorithm for block motion estimation in video coding
    這些算法適合于用在運(yùn)動(dòng)較為平緩的情況下，但是在運(yùn)動(dòng)較為劇烈的情況下，這些算法很有可能陷入局部最優(yōu)，因而造成搜索精度損失。
  • The back - propagation algorithm also rests on the idea of gradient descent , and so the only change in the analysis of weight modification concerns the difference between t and y
    反向傳播算法同樣來(lái)源于梯度降落原理，在權(quán)系數(shù)調(diào)整分析中的唯一不同是涉及到t ( p , n )與y ( p , n )的差分。
  • A gradient descent learning algorithm is employed to train the network . finally , the whole thesis is summarized , and some future research areas are highlighted
    最后，對(duì)全文作出總結(jié)，歸納了本文解決的問(wèn)題，指出了基于多元統(tǒng)計(jì)投影軟測(cè)量技術(shù)的今后值得關(guān)注和深入研究的方向。
  • In this scheme , the inputs of hidden layer neurons are acquired by using the gradient descent method , and the weights and threshold of each neuron are trained using the linear least square method
    在該方案中，通過(guò)梯度法獲取隱層神經(jīng)元的輸入，使用線(xiàn)性最小二乘法訓(xùn)練各神經(jīng)元的權(quán)值和閾值。
  • More examples：  1  2  3

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