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

  1. 【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 ...

  2. 【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 ...

  3. 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 ...

  4. 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 ...

  5. Neural Networks and Deep Learning

    Neural Networks and Deep Learning This is the first course of the deep learning specialization at Co ...

  6. [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 ...

  7. 《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 ...

  8. 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 ...

  9. 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 ...

  10. 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

  1. Ecplise 快捷键笔记

    1.显示出这个方法被哪些方法调用(Ctrl+Alt+H) 选中方法名,点右键,选“open call hierarchy”,其快捷键“Ctrl+Alt+H”,Eclipse就会显示出这个方法被哪些方法 ...

  2. fopen() 返回 NULL, 奇葩原因:当前进程打开多个句柄，忘记关闭。(bug)

    今天在测试一个程序的时候,突然第一次弹出错误对话框,提示: 创建新文件失败. fopen() 返回 NULL 我又重启程序测试,还是提示同样的错误. 经过几分钟的检查,发现一个规律:当处理到500多个 ...

  3. IntelliJ IDEA Cannot resolve symbol ''

    study from : https://www.cnblogs.com/linmengfei/p/7909196.html File->Invalidate Caches 点击File | I ...

  4. 第十五节、韦伯局部描述符(WLD，附源码)

    纹理作为一种重要的视觉线索,是图像中普遍存在而又难以描述的特征,图像的纹理特征一般是指图像上地物重复排列造成的灰度值有规则的分布.纹理特征的关键在于纹理特征的提取方法.目前,用于纹理特征提取的方法有很 ...

  5. GitLab 环境搭建【CentOS7】

    RPM安装方式 https://mirrors.tuna.tsinghua.edu.cn/gitlab-ce/yum/el7 [最好给服务器分配至少4G内存] 先检查一下依赖:sshd [root@l ...

  6. Idea2017.3.5+SpringBoot--热部署

    首先建立工程的时候要选择DevTools: 然后File----Settings 然后 点击OK,然后Ctrl+Alt+Shift+/ 当当当当!!出来下面这个,点击Registry 找到这一项,勾选 ...

  7. python之路入门篇

    一. Python介绍 python的创始人为吉多·范罗苏姆(Guido van Rossum).1989年的圣诞节期间,Guido开始写能够解释Python语言语法的解释器.Python这个名字,来 ...

  8. javaSE eclipse tomocat安装与配置

    ---恢复内容开始--- javaSE       下载:       第一步:百度收索jdk downlaod  下载地址:https://www.oracle.com/technetwork/ja ...

  9. 让mysql监听ipv4

    系统:centos7 关闭ipv6方法: 方法1:编辑/etc/sysctl.conf文件,添加如下两行到文件 net.ipv6.conf.all.disable_ipv6 = 1 net.ipv6. ...

  10. JVM高手之路七（tomcat调优以及tomcat7、8性能对比）

         版权声明:本文为博主原创文章,未经博主允许不得转载. https://blog.csdn.net/lirenzuo/article/details/77164033 因为每个链路都会对其性能 ...