网络释义专业释义
... 函数代数 function algebra; 函数导数 functional derivative; 函数的正交系 orthogonal system of functions; ...
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常数函数之导数 of a constant function
指数函数之导数 of exponential function
复合函数之导数 of a composite function
幂函数之导数 of a power function
求样条函数的方向导数 fndir
隐函数的导数 Derivative of Implicit Function
偏导数函数 derivative functions
需求函数在该点的导数 differential coefficient
矢量函数的导数 the derivative of vector functions
双语例句原声例句
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第二章研究有界正则函数导数的估计问题。
In second chapter, we discuss the problems of estimating in the derivation of bounded functions.
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证明了一条幂指函数的求导法则，并总结了幂指函数导数计算的常用方法。
The paper gives a derivation rule of the power exponential function and analyzes some common calculation methods.
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当网络连接权值矩阵的最小特征值大于激活函数导数的倒数时，网络并行收敛。
When the minimal eigenvalue of connection weights matrix is greater than the reciprocal of derivation of its neuron activation function, the network will be convergent in parallel update mode.
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All right. If the derivative is small, it's not changing, maybe want to take a larger step, but let's not worry about that all right?
好，如果导数很小的话，函数就基本没什么变化,可能我们就想把步子迈大一点儿了,但是别为这个担心？
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What's a function, what's a derivative, what's a second derivative, how to take derivatives of elementary functions, how to do elementary integrals.
什么是函数,什么是导数,什么是二阶导数,如何对初等函数求导,如何进行初等积分
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One way to think about this intuitively if the derivative is very large the function is changing quickly, and therefore we want to take small steps.
关于这个方法很直观的一点想法是,如果导数非常大,函数也就变化的非常快，因此我们想一小步一小步的来。
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