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【吴恩达深度学习】04_week2_quiz Deep convolutional models

(1)Which of the following do you typically see as you move to deeper layer in a ConvNet?[A] nHn_HnH​ and nWn_WnW​ decrease, while nCn_CnC​ increases.[B] nHn_HnH​ and nWn_WnW​ decrease, while nCn_CnC​

#深度学习#cnn#神经网络
【吴恩达深度学习】01_week4_quiz Key concepts on Deep Neural Networks

(1)What is the “cache” used for in our implementation of forward propagation and backward propagation?[A]It is used to keep track of the hyperparameters that we are searching over, to speed up computa

#深度学习#人工智能
【吴恩达深度学习】03_week2_quiz Autonomous driving (case study)

(1) To help you practice strategies for machine learning, in this week we’ll present another scenario and ask how you would act. We think this “simulator” of working in a machine learning project will

#深度学习#机器学习#人工智能
【吴恩达深度学习】01_week1_quiz Introduction to deep learning

(1) What does the analogy “AI is the new electricity” refer to?[A] AI runs on computers and is thus powered by electricity, but it is letting computers do things not possible before.[B]AI is powering

#深度学习#人工智能
判断一个边缘检测算子的检测方向的方法

本篇讨论的内容是当你拿到一个边缘检测算子,比如说∣01−1013−3−113−3−101−10∣\left| \begin{matrix}0&1&-1&0\\1&3&-3&-1\\1&3&-3&-1\\0&1&-1&0\\\end{matrix} \right|∣∣∣∣∣∣∣∣​0110​1331​−1

#计算机视觉#算法
【吴恩达深度学习】03_week1_quiz Bird recognition in the city of Peacetopia(case study)

(1)Problem StatementThis example is adapted from a real production application, but with details disguised to protect confidentiality.You are a famous researcher in the City of Peacetopia. The people

#深度学习#人工智能#机器学习
正项级数的积分审敛法,p级数的敛散性

定理Suppose f(x)f(x)f(x) is continuous, positive and decreasing on [1,∞]\left[ 1,\infty \right][1,∞]. If an=f(n)a_n=f(n)an​=f(n) for all n=1,2,...n=1,2,...n=1,2,..., then∑n=1∞an is convergent.

#算法
limx^α(lnx)^β=0公式的推导

结论lim⁡x→0+xα(lnx)β=0,α,β>0\lim_{x \to 0^+} x^\alpha (lnx)^\beta =0 , \alpha ,\beta > 0x→0+lim​xα(lnx)β=0,α,β>0推导洛一次lnx的次数减少1,一直洛到次数<=0

#数学
常用基本初等函数的求导公式推导

0、常用基本初等函数的求导公式1、axa^xax和exe^xex的导数根据导数的定义ddxax=lim⁡Δx→0ax+Δx−axΔx=lim⁡Δx→0ax⋅aΔx−axΔx=axlim⁡Δx→0aΔx−1Δx\frac{d}{dx}a^x=\underset{\Delta x\rightarrow 0}{\lim}\frac{a^{x+\Delta x}-a^x}{\Delta x}=\under

#几何学#机器学习
等价无穷小的精度问题

在求极限的时候,我们有一大利器等价无穷小替换。但是在替换的时候如果使用不当,会产生精度不够的问题,从而导致我们的计算错误。那么为什么会产生精度不够的问题,等价无穷小的本质是什么,这就是本文要来探讨的问题。参考阅读:泰勒公式系列之一,多项式逼近大O表示同阶无穷小小o表示高阶无穷小如对于x2+2x3+x4x^2+2x^3+x^4x2+2x3+x4,用大O表示则表示为O(x2)O(x^2)O(x2),即

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