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exponentiation指数averagefiringrate平均激活率intensity强度Regression回归Lossfunction损失函数non-convex非凸函数neuralnetwork神经网络supervisedlearning监督学习regressionproblem回归问题处理的是连续的问题classificationproblem分类问题discreetvalue离散值supportvectormachines支持向量机learningtheory学习理论learningalgorithms学习算法unsupervisedlearning无监督学习gradientdescent梯度下降linearregression线性回归NeuralNetwork神经网络gradientdescent梯度下降normalequationslinearalgebra线性代数superscript上标trainingexample训练样本hypothesis假设，用来表示学习算法的输出LMSalgorithm“leastmeansquares最小二乘法算法batchgradientdescent批量梯度下降constantlygradientdescent随机梯度下降iterativealgorithm迭代算法partialderivative偏导数contour等高线quadraticfunction二元函数locallyweightedregression局部加权回归underfitting欠拟合overfitting过拟合non-parametriclearningalgorithms无参数学习算法parametriclearningalgorithm参数学习算法activation激活值activationfunction激活函数additivenoise加性噪声autoencoder自编码器Autoencoders自编码算法averagesum-of-squareserror均方差backpropagation后向传播basis基basisfeaturevectors特征基向量batchgradientascent批量梯度上升法Bayesianregularizationmethod贝叶斯规则化方法Bernoullirandomvariable伯努利随机变量biasterm偏置项binaryclassfication二元分类classlabels类型标记concatenation级联conjugategradient共轭梯度contiguousgroups联通区域convexoptimizationsoftware凸优化软件convolution卷积costfunction代价函数covariancematrix协方差矩阵DCcomponent直流分量decorrelation去相关degeneracy退化demensionalityreduction降维diagonal对角线diffusionofgradients梯度的弥散eigenvalue特征值eigenvector特征向量errorterm残差featurematrix特征矩阵featurestandardization特征标准化feedforwardarchitectures前馈结构算法feedforwardneuralnetwork前馈神经网络feedforwardpass前馈传导fine-tuned微调first-orderfeature一阶特征forwardpass前向传导forwardpropagation前向传播Gaussianprior高斯先验概率generativemodel生成模型gradientdescent梯度下降Greedylayer-wisetraining逐层贪婪训练方法groupingmatrix分组矩阵Hadamardproduct阿达马乘积HessianmatrixHessian矩阵hiddenlayer隐含层derivative导函数hiddenunits隐藏神经元linearsuperposition线性叠加Hierarchicalgrouping层次型分组higher-orderfeatures更高阶特征highlynon-convexoptimizationproblem高度非凸的优化问题histogram直方图hyperbolictangent双曲正切函数hypothesis估值，假设identityactivationfunction恒等激励函数IID独立同分布illumination照明inactive抑制independentcomponentanalysis独立成份分析inputdomains输入域inputlayer输入层intensity亮度/灰度interceptterm截距KLdivergence相对熵KLdivergenceKL分散度k-MeansK-均值learningrate学习速率leastsquares最小二乘法line-searchalgorithm线搜索算法localmeansubtraction局部均值消减localoptima局部最优解logisticregression逻辑回归lossfunction损失函数low-passfiltering低通滤波magnitude幅值MAP极大后验估计maximumlikelihoodestimation极大似然估计mean平均值MFCCMel倒频系数multi-classclassification多元分类neuralnetworks神经网络neuron神经元Newton'smethod牛顿法non-convexfunction非凸函数non-linearfeature非线性特征norm范式normbounded有界范数normconstrained范数约束normalization归一化linearcorrespondence线性响应reconstructioncost重建代价reconstructionbasedmodels基于重构的模型sparseautoencoder消减归一化numericalroundofferrors数值舍入误差numericallychecking数值检验numericallyreliable数值计算上稳定objectdetection物体检测objectivefunction目标函数off-by-oneerror缺位错误orthogonalizati...