Coursera, Deep Learning 1, Neural Networks and Deep Learning - week2, Neural Networks Basics
Logistic regression
Cost function for logistic regression

Gradient Descent




接下来主要讲 Vectorization

Logistic Regression 的向量实现


Vectorizing LR Gradient output

Python/Numpy and Jupyter Notebook
上图中 axis=0 表示竖直方向,axis=1 是水平方向
Coursera, Deep Learning 1, Neural Networks and Deep Learning - week2, Neural Networks Basics的更多相关文章
- 【DeepLearning学习笔记】Coursera课程《Neural Networks and Deep Learning》——Week2 Neural Networks Basics课堂笔记
Coursera课程<Neural Networks and Deep Learning> deeplearning.ai Week2 Neural Networks Basics 2.1 ...
- 【DeepLearning学习笔记】Coursera课程《Neural Networks and Deep Learning》——Week1 Introduction to deep learning课堂笔记
Coursera课程<Neural Networks and Deep Learning> deeplearning.ai Week1 Introduction to deep learn ...
- 课程一(Neural Networks and Deep Learning),第四周(Deep Neural Networks) —— 3.Programming Assignments: Deep Neural Network - Application
Deep Neural Network - Application Congratulations! Welcome to the fourth programming exercise of the ...
- 课程一(Neural Networks and Deep Learning),第二周(Basics of Neural Network programming)—— 4、Logistic Regression with a Neural Network mindset
Logistic Regression with a Neural Network mindset Welcome to the first (required) programming exerci ...
- Neural Networks and Deep Learning
Neural Networks and Deep Learning This is the first course of the deep learning specialization at Co ...
- [C3] Andrew Ng - Neural Networks and Deep Learning
About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep l ...
- 《Neural Networks and Deep Learning》课程笔记
Lesson 1 Neural Network and Deep Learning 这篇文章其实是 Coursera 上吴恩达老师的深度学习专业课程的第一门课程的课程笔记. 参考了其他人的笔记继续归纳 ...
- 第四节,Neural Networks and Deep Learning 一书小节(上)
最近花了半个多月把Mchiael Nielsen所写的Neural Networks and Deep Learning这本书看了一遍,受益匪浅. 该书英文原版地址地址:http://neuralne ...
- 课程四(Convolutional Neural Networks),第二 周(Deep convolutional models: case studies) —— 0.Learning Goals
Learning Goals Understand multiple foundational papers of convolutional neural networks Analyze the ...
- 课程一(Neural Networks and Deep Learning),第三周(Shallow neural networks)—— 3.Programming Assignment : Planar data classification with a hidden layer
Planar data classification with a hidden layer Welcome to the second programming exercise of the dee ...
随机推荐
- docker学习5--docker数据卷(volume)
https://blog.csdn.net/dream_broken/article/details/52314993 1.什么是数据卷volume 为了了解什么是Docker Volume,首先我们 ...
- Arch Linux下Visual Stdio Code在格式化C代码时报错
libtinfo.so.5: cannot open shared object file: No such file or directory Arch Linux下Visual Stdio Cod ...
- C# Winform ListView控件
一.ListView: 1.视图改为为Detalis: 2.编辑列,每添加一个添加一列,右侧属性Text改列名,停靠位置,列头的长度等等: 3.右侧属性,点开Iteme,添加ListViewItem集 ...
- A1034. Head of a Gang
One way that the police finds the head of a gang is to check people's phone calls. If there is a pho ...
- 【CF1119E】Pavel and Triangles
题目大意:有 N 种长度的边,第 i 种长度为 \(2^i\),给定一些数量的这些边,问最多可以组合出多少种三角形. 题解:应该是用贪心求解,不过选择什么样的贪心策略很关键. 首先分析可知,两个较大边 ...
- 【洛谷P1637】三元上升子序列
题目大意:给定一个长度为 N 的序列,求有多少个三元组满足 \(i<j<k,a_i<a_j<a_k\). 题解:这是一类二维偏序问题,与逆序对问题类似. 对于序列中每个点来说, ...
- Linux基本命令总结(三)
接上篇: 11,more命令,功能类似 cat ,cat命令是整个文件的内容从上到下显示在屏幕上. more会以一页一页的显示方便使用者逐页阅读,而最基本的指令就是按空白键(space)就往下一页显示 ...
- 第三十三篇-TabLayout的使用
效果图: 最上方是一个TabLayout,有三个部分,新闻.财经.娱乐,下方是一个ViewPaper,里面包含三个fragment,分别对应三个xml和java class. 第一个Fragment里 ...
- hdu 2476"String painter"(区间DP)
传送门 https://www.cnblogs.com/violet-acmer/p/9852294.html 题意: 给定字符串A,B,每次操作可以将字符串A中区间[ i , j ]的字符变为ch, ...
- TODO maven学习笔记
maven是什么? 我的体会 我理解得maven就是一个构建工具,可以做一些项目得整合操作,我们把一些常见得操作,封装在maven里面,并给它命名成 clean,test,compile,这些步骤都是 ...


