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
- htmlunit 导致高cup占用,一老内存溢出的解决办法
原文:http://blog.csdn.net/qq_28384353/article/details/52974432#reply 将爬虫部署到服务器上运行后,在查看服务器的状态监控时发现,天猫爬虫 ...
- Developing JSF applications with Spring Boot
Developing JSF applications with Spring Boot Spring Boot can leverage any type of applications, not ...
- JS原生 未来元素监听写法
绑定事件的另一种方法是用 addEventListener() 或 attachEvent() 来绑定事件监听函数. addEventListener()函数语法:elementObject.addE ...
- github在网页编写readme之后的操作
study from : https://jingyan.baidu.com/article/f3e34a12a25bc8f5ea65354a.html
- 在windows中把一个文件夹打成war包
转: 在windows中把一个文件夹打成war包 一般开发打war包时都是用MyEclipse或IntelliJ IDEA等直接导出war文件,这里介绍一种如何把一个文件夹打成war包的方式,如下 ...
- postman基于webservice的请求
以 http://ws.webxml.com.cn/WebServices/MobileCodeWS.asmx?op=getMobileCodeInfo 为例 1.先理解事例的内容,请求头和响应 ...
- Struts2上传文件出错
出现错误: Error setting expression 'myFile' with value '[Ljava.lang.String;@47fb02e8' 解决方法: 这是由于没有设置 < ...
- python 中r 和 \r
r'xxx' 转义 如果在前面加r字符,则表示让这个字符串里面的内容失去转义的意义 1 s = r'\n这只是\n' # 字符串中的"\n"只是字符,没有换行的意义了. 2 pri ...
- Luogu P3239 [HNOI2015]亚瑟王
题目链接 \(Click\) \(Here\) 期望神题.最开始一直尝试推朴素一点的,逻辑上的\(DP\)式子,后来发现一直出锅,可能是我的式子没容斥对... 题解中给出的想法是这样的: 首先,如果直 ...
- php小项目踩坑以及其中的注意点(第二篇)
用户登录页面 1.通过数据库验证用户名和密码(可以将里面要用到的数据库信息,放入到一个config文件中) <?php define('DB_HOST','localhost'); define ...