- 综合排序
- 最热优先
- 最新优先
- 来自专栏机器学习、深度学习
1D and 2D Gaussian Derivatives
http://campar.in.tum.de/Chair/HaukeHeibelGaussianDerivatives
53310编辑于 2021-12-07 - 来自专栏懒人开发
（2.8）James Stewart Calculus 5th Edition：Derivatives
---- Derivatives 导数 简单说明， 上一节中，几个定理都类似 ? 定理2 如果极限存在，则可以简单写成 导数（衍生品？）
58920发布于 2018-09-12 - 来自专栏懒人开发
（3.7）James Stewart Calculus 5th Edition：Higher Derivatives
---- Higher Derivatives ? 如果 微分函数 的导数 f' 依然是一个函数的话，那么这个导数的导数，可以写成 (f')' = f''。 叫 二阶导数。 莱布尼茨 写法为： ?
49150发布于 2018-09-12 - 来自专栏懒人开发
（2）James Stewart Calculus 5th Edition：Limits and Derivatives
大体目录 Paste_Image.png Paste_Image.png 大体内容 第一章，大体都是 初中，高中的内容复习 大体为： 切线，速度的理解 瞬时速度，平均速度的理解 极限， 一边的极限，什
57720发布于 2018-09-12 - 来自专栏懒人开发
（3.8）James Stewart Calculus 5th Edition：Derivatives of Logarithmic Functions
---- Derivatives of Logarithmic Functions ? 证明过程： ?
42230发布于 2018-09-12 - 来自专栏懒人开发
（3.4）James Stewart Calculus 5th Edition：Derivatives of Trigonometric Functions
Derivatives of Trigonometric Functions 三角函数的导数 对应的图像（sinx 和 对应导数的图像） 具体证明 较复杂，略 （书上证明较严谨，比较长） 简单不太严谨证明 dhIeii7Sfgc4uicXPtzkAgZnl-QN3Np5gO6WJmd_-5V1hA0j2b6vrXkMXmeDKoM1jfOsbhvvMscm4_En0qRcLq 结论 同理，可以得出： 还有： Derivatives
48520发布于 2018-09-12 - 来自专栏懒人开发
（3.1）James Stewart Calculus 5th Edition：Derivatives of Polynomials and Exponential Functions
---- Derivatives of Polynomials and Exponential Functions 一些数的微分值 常数的微分值 对应的推理 ? Paste_Image.png ---- New Derivatives from Old 新的导数 就是一些常数，函数的加减乘除 相关运算结果的 导数 The Constant Multiple Rule
67230发布于 2018-09-12 - 来自专栏懒人开发
（4.3）James Stewart Calculus 5th Edition：How Derivatives Affect the Shape of a Graph
f'(x) > 0 的时候， 在区间内是 递增的 f'(x) < 0 的时候， 在区间内是 递减的
73260发布于 2018-09-12 - 来自专栏量化投资与机器学习
吐血干货 | 量化、算法、机器学习交易书单完整目录
Tharp 衍生品 Equity derivatives The Volatility Surface by Jim Gatheral Stochastic Volatility Modeling by Lorenzo Bergomi Equity Hybrid Derivatives by Marcus Overhaus et al. Commodities and Commodity Derivatives by Helyette Geman Commodity Option Pricing by Iain J. Clark Interest rate derivatives Interest Rate Models — Theory and Practice by Damiano B. & Fabio M. Pricing and Trading Interest Rate Derivatives by J. H. M.
1.3K10发布于 2019-05-14 - 来自专栏CV学习史
图像求导及模糊
self.Iy = np.zeros(self.grayImg.shape) self.manitude = np.zeros(self.grayImg.shape) def cal_derivatives_sobel filters.sobel(self.grayImg, 0, self.Iy) self.manitude = np.sqrt(self.Ix**2 + self.Iy**2) def cal_derivatives_prewitt filters.prewitt(self.grayImg, 0, self.Iy) self.manitude = np.sqrt(self.Ix**2 + self.Iy**2) def cal_derivatives_gaussian /imgs/3.jpg" sc = ScipyFilter(img_path) sc.cal_derivatives_sobel() sc.plot() sc.cal_derivatives_prewitt () sc.plot() sc.cal_derivatives_gaussian(3) sc.plot() sc.cal_derivatives_gaussian(5)
1.2K20发布于 2019-09-30 - 来自专栏进击的程序猿
线性回归背后的数学
这就要讲到偏导数（partial derivatives）的概念了，以前大学里学偏导数的是时候一直不明白为什么叫偏导，直到最近看到英文：partial derivatives才明白，我们来看图： ? 如果我们固定住y，则是一个曲线，如图中绿色的线，此时我们在计算点(a,b,f(a,b))在绿色线上的斜率，就可以得到沿着x方向的斜率了，同样的我们固定x，就可以得到y方向的斜率，这样子解释，英文partial derivatives llSourcell/linear_regression_live 一些视频的中的词汇记录： back of your hand：了如指掌 gradient descent：梯度下降 partial derivatives
69320发布于 2018-08-23 - 来自专栏sukuna的博客
吴恩达机器学习II
. % Compute the partial derivatives and set grad to the partial % derivatives choice of theta. % You should set J to the cost. % Compute the partial derivatives and set grad to the partial % derivatives of the cost w.r.t. each parameter in theta h
35810编辑于 2022-12-08 - 来自专栏CreateAMind
Memory Generation-Consolidation-Loss and Alzheimer's
in working memory flows through the brain, from the hippocampus to the cortex, through directional derivatives The strong working memory brain plasticity turns to long-term memory means maximum of directional derivatives , and maximum of directional derivatives is gradient. Maximum of directional derivatives of working memory means gradient of short-term memory turns to long-term Memory flow can take a critical angle of 0, which is the maximum directional derivatives, or a critical
29440编辑于 2023-09-01 - 来自专栏XINDOO的专栏
Stanford 机器学习练习 Part 2 Logistics Regression
. % Compute the partial derivatives and set grad to the partial % derivatives choice of theta. % You should set J to the cost. % Compute the partial derivatives and set grad to the partial % derivatives of the cost w.r.t. each parameter in theta h
40810发布于 2021-01-21 吴恩达机器学习 - 逻辑回归的正则化
. % Compute the partial derivatives and set grad to the partial % derivatives
13000编辑于 2025-08-27- 来自专栏技术汇总专栏
借势AI系列：从教材到练习题-AIGC助力教育资源的智能化生成
Derivatives - Definition of a derivative - Rules of differentiation - Chain rule and product rule4 Applications of Derivatives - Finding maxima and minima - Optimization problems - Related rates5 Derivatives - Animation: Visualizing the slope of a tangent line. Applications of Derivatives - Video: Optimization problems in physics and economics. and Applications - Watch: Advanced lesson on "Applications of Derivatives
1.2K20编辑于 2024-10-20 - 来自专栏懒人开发
（3.6）James Stewart Calculus 5th Edition：Implicit Differentiation
可以发现，对应的微分值 如果在同一个点的切线， 那么，它们互为 负导数 （互相垂直） ---- Derivatives of Inverse Trigonometric Functions 反三角函数的导数 Derivatives of Inverse Trigonometric Functions 反三角函数的导数 ?
78940发布于 2018-09-12 - 来自专栏祥的专栏
[AC]三种方式实现经纬度方程(获取动态物体的经纬度坐标)
/* Change to #undef to remove function */ #if defined(MDL_DERIVATIVES) static void mdlDerivatives (SimStruct *S) { } #endif /* MDL_DERIVATIVES */ static void mdlTerminate(SimStruct *S) { } /* Change to #undef to remove function */ #if defined(MDL_DERIVATIVES) /* Function: mdlDerivatives * The derivatives are placed in the derivative vector, ssGetdX(S). */ static void mdlDerivatives 更新经度Lng Lng_dot = V_east / ( R_N * cos(Lat) ); } #endif /* MDL_DERIVATIVES */ static
1.2K10发布于 2020-03-10 - 来自专栏祥的专栏
[Matlab]Simulink串口接收详解2用S-Function解析数据包
*/ static void mdlUpdate(SimStruct *S, int_T tid) { } #endif /* MDL_UPDATE */ #define MDL_DERIVATIVES /* Change to #undef to remove function */ #if defined(MDL_DERIVATIVES) /* Function: mdlDerivatives ======================= * Abstract: * In this function, you compute the S-function block's derivatives * The derivatives are placed in the derivative vector, ssGetdX(S). */ static void mdlDerivatives (SimStruct *S) { } #endif /* MDL_DERIVATIVES */ /* Function: mdlTerminate ====================
3.3K10发布于 2020-03-10 - 来自专栏图像处理与模式识别研究所
Shi-Tomasi角点检测
www.cse.psu.edu/~rtc12/CSE486/lecture06.pdf https://docs.opencv.org/2.4/doc/tutorials/imgproc/imgtrans/sobel_derivatives /sobel_derivatives.html?
52020编辑于 2022-09-21
腾讯云开发者
Copyright © 2013 - 2026 Tencent Cloud. All Rights Reserved. 腾讯云 版权所有
深圳市腾讯计算机系统有限公司 ICP备案/许可证号：粤B2-20090059 
粤公网安备44030502008569号
腾讯云计算（北京）有限责任公司 京ICP证150476号 | 京ICP备11018762号