青年中文青年中文

gradient descent的意思

gradient descent中文翻譯:

[數]梯度下降

相似詞語短語

gradient post───坡度標

sudden descent───突然下降

gradient posts───坡度標

Saint Vincent───圣文森特島(位于西印度群島東南部)

adultescent───成人

candescent───adj.白熱的

detumescent───adj.退腫的;消腫的

雙語使用場景

This paper studies BP network, realizes the method of gradient descent, gets better result than traditional one.───本文研究了BP網絡,實現了“梯度下降法”的網絡訓練方法,獲得了較傳統方法好的效果。

application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.───隨機并行梯度下降(SPGD)最優化算法在光束凈化系統中的應用展開研究。

A new gradient descent algorithm for unconstrained optimization problem is proposed.───提出了一種新的無約束優化下降算法.

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,是一種局部尋優算法.

So we can use the convolution of Laplacian operator to compute the gradient descent.───因此,可以利用有向拉普拉斯算子的卷積來計算梯度下降迭代公式.

Finally, all of the parameters of the T - S model are determined accurately with gradient descent algorithm.───最后, 通過梯度下降方法,精確確定T -S 模糊模型的所有參數.

Gradient descent algorithm using momentum BP network training.───采用動量梯度下降算法訓練BP網絡.

It can be solved by iteration of gradient descent.───它通過梯度下降迭代求得最小值.

The delta rule is based on the idea of gradient descent.───而delta規則是基于梯度降落這樣一種思路。

英語使用場景

It can be solved by iteration of gradient descent.

A new gradient descent algorithm for unconstrained optimization problem is proposed.

A practical cooling regime was established then, and a network with better performances was obtained by combining simulated annealing algorithm with gradient descent method.

The parameters in the classifier are tuned automatically by minimizing error functions through gradient descent.

Instead of gradient descent method, recursive least-square algorithm is used to train the fuzzy neural network to overcome the defect of the low convergence rate and local minimal.

Sentencedict.com try its best to gather and make good sentences.

Based on gradient descent rule, the BP ( Back Propagation ) algorithm is a local optimization algorithm.

Among known model-free optimization techniques, stochastic parallel perturbative gradient descent is perhaps the most promising for adaptive optics applications.

Gradient descent algorithm using momentum BP network training.