课程一(Neural Networks and Deep Learning),第三周(Shallow neural networks)—— 0、学习目标
Learn to build a neural network with one hidden layer, using forward propagation and backpropagation.
学习目标
- Understand hidden units and hidden layers
- Be able to apply a variety of activation functions in a neural network.
- Build your first forward and backward propagation with a hidden layer
- Apply random initialization to your neural network
- Become fluent with Deep Learning notations and Neural Network Representations
- Build and train a neural network with one hidden layer.
中文翻译------------------>
课程一(Neural Networks and Deep Learning),第三周(Shallow neural networks)—— 0、学习目标的更多相关文章
- 吴恩达《深度学习》-第一门课 (Neural Networks and Deep Learning)-第三周:浅层神经网络(Shallow neural networks) -课程笔记
第三周:浅层神经网络(Shallow neural networks) 3.1 神经网络概述(Neural Network Overview) 使用符号$ ^{[
- 【面向代码】学习 Deep Learning(三)Convolution Neural Network(CNN)
========================================================================================== 最近一直在看Dee ...
- 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 ...
- 课程一(Neural Networks and Deep Learning),第一周(Introduction to Deep Learning)—— 2、10个测验题
1.What does the analogy “AI is the new electricity” refer to? (B) A. Through the “smart grid”, AI i ...
- 课程一(Neural Networks and Deep Learning),第一周(Introduction to Deep Learning)—— 1、经常提及的问题
Frequently Asked Questions Congratulations to be part of the first class of the Deep Learning Specia ...
- 课程一(Neural Networks and Deep Learning),第二周(Basics of Neural Network programming)—— 3、Python Basics with numpy (optional)
Python Basics with numpy (optional)Welcome to your first (Optional) programming exercise of the deep ...
- 课程一(Neural Networks and Deep Learning),第一周(Introduction to Deep Learning)—— 0、学习目标
1. Understand the major trends driving the rise of deep learning.2. Be able to explain how deep lear ...
- 课程一(Neural Networks and Deep Learning),第二周(Basics of Neural Network programming)—— 0、学习目标
1. Build a logistic regression model, structured as a shallow neural network2. Implement the main st ...
- 课程一(Neural Networks and Deep Learning),第二周(Basics of Neural Network programming)—— 2、编程作业常见问题与答案(Programming Assignment FAQ)
Please note that when you are working on the programming exercise you will find comments that say &q ...
- 课程一(Neural Networks and Deep Learning),第二周(Basics of Neural Network programming)—— 1、10个测验题(Neural Network Basics)
--------------------------------------------------中文翻译---------------------------------------------- ...
随机推荐
- java启动jar包中的指定类
运行jar文件的方法是:java -jar xxx.jar 希望运行里面的具体某个类,这时可以通过:java -cp xxx.jar xxx.com.xxxx 其中-cp命令是将xxx.jar加入到c ...
- MacOS使用常用配置
如何增加tree命令? 安装Homebrew步骤:http://blog.csdn.net/xianyiqi/article/details/51297562 安装npm步骤:https://blog ...
- C# 编码标准(二)
先八卦一下,昨天写了C# 编码标准(一),得到了@h82258652的补充,感到非常欣慰,一是感觉他的观点扩展了我的视野,丰富了我的看法,所以更坚定了我继续写博客的想法,由于是五笔打字,经常不写东西, ...
- python中的取整
处理数据时,经常会遇到取整的问题,现总结如下 1,向下取整 int() >>>a = 3.1 >>>b = 3.7 >>>int(a) 3 > ...
- Sprinig泛型依赖注入
在父类中建立关系 (spring4.x以上版本) package com.spring.annotation.generic; import org.springframework.beans.fac ...
- SQL常用增删改查
转 http://www.cnblogs.com/daxueshan/p/6687521.html 1增 1.1[插入单行]insert [into] <表名> (列名) values ( ...
- c语言结构体链表
原文链接:http://zhina123.blog.163.com/blog/static/417895782012106036289/ 引用自身的结构体,一个结构体中有一个或多个成员的基类型就是本结 ...
- Java实现FTP批量大文件上传下载篇1
本文介绍了在Java中,如何使用Java现有的可用的库来编写FTP客户端代码,并开发成Applet控件,做成基于Web的批量.大文件的上传下载控件.文章在比较了一系列FTP客户库的基础上,就其中一个比 ...
- MapGIS10.3新功能
智能的GIS 支持开放的数据集.数据库.等等 T-C-V 软件结构是继局部网软件的 C/S 结构,互联网软件的 B/S 结构发展起来的适合云 计算.云服务的新一代软件三层结构,分别为终端应用层(T 层 ...
- 一个封存Id与状态对应键值的神器,BigInteger的setBit和testBit用法实例
1,首先描述一下应用场景 比如,我们要对菜单做权限,控制不同角色菜单显示与不显示,角色为经理时,我们需要菜单id为 4,7,13,24的菜单显示,别的菜单不显示. 就是说,这时候我们要把4,7,13, ...