\begin{equation} f(x)= \left\{ \begin{array}{lr} x,& x>0. \\ \alpha(e^{x}-1), & x\leq 0.\\ \end{array} \right. \end{equation} 梯度爆炸 梯度误差是在神经网络训练期间计算的方向和梯度,神经网络以正确的方向和数值更新网络权重。在深度网络或递归神经网络中,梯度误差可能在更新过程中...
sig, d_sig, sig_0, and d_sig_0 : function objects Optional arguments intended for use with the 'custom' method option. They should be functions. sig_0 and d_sig_0 are the output layer activation functions. """method = method.lower()ifmethod =='logistic': self.sig =lambdaz: twod...
(Mathematics) hyperbolic tangent; a hyperbolic function that is the ratio of sinh to cosh [C20: from tan(gent) + h(yperbolic)] Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014...
A generalization of the extended tanh-function method is proposed by introducing two fractional types of exact solutions with two parameters of the Riccati equation.Infinite number of exact traveling wave solutions of the cubic nonlinear Schr dinger equation,the Vakhnenko-Parkes equation and the modifie...
def gelu(x): """Implementation of the gelu activation function. For information: OpenAI GPT's gelu is slightly different (and gives slightly different results): 0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3))) """ return x * 0.5 * (1.0...
Script inspired from its corresponding Wikipedia article https://en.wikipedia.org/wiki/Activation_function """ import numpy as np def tangent_hyperbolic(vector: np.ndarray) -> np.ndarray: """ Implements the tanh function Parameters: vector: np.ndarray Returns: tanh (np.array): The input ...
We employ Physics-informed Neural Networks (PiNN) with a periodic activation function to solve solute transport problems in both homogeneous and heterogeneous porous media governed by the advection-dispersion equation. Unlike traditional neural ... SA Faroughi,R Soltanmohammadi,P Datta,... 被引量: ...
Method/Function: tanh 导入包: numpy 每个示例代码都附有代码来源和完整的源代码,希望对您的程序开发有帮助。 示例1 def set_activation(self, method, sig=None, d_sig=None, sig_0=None, d_sig_0=None): """ This method sets the activation functions. Parameters --- method : str 'logistic' , ...
Data driven soliton solution of the nonlinear Schr"odinger equation with certain $\\mathcal{PT}$-symmetric potentials via deep learning we examine the factors that affect the performance of the considered deep learning method with different activation functions, namely ReLU, sigmoid and tanh... J...