Please note that when you are working on the programming exercise you will find comments that say "# GRADED FUNCTION: functionName". Do not edit that comment. The function in that code block will be graded.

1) What is a Jupyter notebook?

A Jupyter notebook is a document that allows you to have executable code and text in the same web-page. With Jupyter notebooks you do not have to download anything on your computer to do the programming exercises. Everything is provided for you online. You will be completing the exercise as you scroll down the webpage without having to jump between different files.

2) What is the coursera hub?

The coursera hub is the workspace which contains the notebook, helper files, data sets, and images. To go to the hub, you should first be in the notebook:

Click on File ==> Open as shown below:

This will lead you to an environment that has all your programming exercises and datasets. You should go there to check out any helper functions that we have provided for you.

3) How do I submit my assignment?

To submit the assignment, click on the blue button in the above image labelled "Submit Assignment."

4) How do I run a cell?

To run a cell, click on the cell and press Shift & Enter. You could also run the cell (or cells) by going to Cell and selecting one of the options:

5) What is a kernel?

You could think of the kernel as the core of the Jupyter notebook's operating system. Sometimes if the notebook blocks or if you want to clear all the variables and start all over again, rather than quitting the notebook and opening it again, you could:

Restart the kernel and clear the output if you accidentally end up in some sort of infinite loop.

6) Why do I get different results every time I run the same cell?

When you run a cell that updates some variable (e.g x: x+1), you will get different results for x as it keeps incrementing. Make sure you are not modifying your existing variables.

7) I got stuck on an assignment; what do I do?

In the Discussion Forums, there is a dedicated forum for each week of the course. You can post questions and get answers to them there. Please be sure to abide by the course Honor Code.

8) How do I save my progress?

Click on File ==> Save and Checkpoint

9) What should I do if my jupyter notebook froze?

Just restart the kernel by clicking on Kernel ==> Restart.

---------------------------------------------------中文翻译--------------------------------------

请注意, 当你正在进行的编程练习, 你会发现评论说, "# GRADED FUNCTION: functionName"。不要编辑该注释。该代码块中的函数将被分级。
1) 什么是 Jupyter 笔记本?
Jupyter 笔记本是一个文档, 它允许您在同一网页中具有可执行代码和文本。使用 Jupyter 笔记本, 您不必在计算机上下载任何内容来进行编程练习。一切都是为您提供在线。当您向下滚动网页而不需要在不同的文件之间跳转时, 您将完成该练习。
 
2) 什么是 coursera  hub?
coursera hub是包含笔记本、助手文件、数据集和图像的工作区。要转到hub, 您应该首先在笔记本中:
Click on File ==> Open as shown below:
这将引导您到一个具有所有编程练习和数据集的环境。你应该去那里看看我们为你提供的任何帮助函数。
 
3) 如何提交我的作业?

若要提交作业, 请单击上面的 "Submit Assignment" 图标上的蓝色按钮。

4) 如何运行cell?

若要运行cell, 请单击该cell并按 Shift +Enter。您还可以通过进入cell并选择其中一个选项来运行cell (或cells):

5) 什么是kernel?

你可以把kernel看成是 Jupyter 笔记本操作系统的核心。有时, 如果笔记本阻塞, 或者您想清除所有变量并重新开始, 而不是退出笔记本并再次打开它, 您可以:

如果您意外地在某种无限循环中结束, 请重新启动内核并清除输出。

6) 为什么每次运行同一单元格(cell)时都得到不同的结果?

在运行更新某些变量的单元格 (eg x:x+1) 时, x 的结果会不同, 因为它不断递增。请确保您没有修改现有变量。

7) 我被一个任务难住了。我该怎么办?

在讨论论坛中, 每个星期都有一个专门的论坛。你可以张贴问题, 并得到答案, 他们在那里。请务必遵守课程荣誉代码。

8) 如何保存我的进度?

Click on File ==> Save and Checkpoint

9) 如果我的jupyter notebook本死机了, 我该怎么办?

只需单击Kernel ==> Restart,l就能重新启动内核。

----------------------------------------------------------------------------------------------------------------------

注:部分图片原网页不能不能显示。

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)的更多相关文章

  1. 吴恩达《深度学习》-第一门课 (Neural Networks and Deep Learning)-第二周:(Basics of Neural Network programming)-课程笔记

    第二周:神经网络的编程基础 (Basics of Neural Network programming) 2.1.二分类(Binary Classification) 二分类问题的目标就是习得一个分类 ...

  2. 【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 ...

  3. 【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 ...

  4. 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 ...

  5. Neural Networks and Deep Learning学习笔记ch1 - 神经网络

    近期開始看一些深度学习的资料.想学习一下深度学习的基础知识.找到了一个比較好的tutorial,Neural Networks and Deep Learning,认真看完了之后觉得收获还是非常多的. ...

  6. Neural Networks and Deep Learning

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

  7. [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 ...

  8. 《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 ...

  9. 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 ...

  10. Neural Networks and Deep Learning 课程笔记(第四周)深层神经网络(Deep Neural Networks)

    1. 深层神经网络(Deep L-layer neural network ) 2. 前向传播和反向传播(Forward and backward propagation) 3. 总结 4. 深层网络 ...

随机推荐

  1. 解决python代码中含有中文报错

    python中写入中文时报错如下图所示: 依照网上解决方法:在py文件中加入:#encoding=utf-8 然后继续报错如下图所示: 解决方法: 在py文件中加入: import sysreload ...

  2. Linux未安装上传下载的插件,怎么进行文件的上传下载

    首先连上服务: 然后Alt+p,打开SFTp窗口: 例如,我们今天要往tomcat的webappmu目录下上传一个文件: 先pwd,查看我们Linux上所处的目录:pwd 然后进入到tomcat的we ...

  3. Arria10 SDI II学习笔记

    12G-SDI16是什么意思? 关于 int_vpid_byte1 int_vpid_byte2 int_vpid_byte3 int_vpid_byte4 这些参数是不是如果外部数据有就不需要传输, ...

  4. Swift: 用Alamofire做http请求,用ObjectMapper解析JSON

    跟不上时代的人突然间走在了时代的前列,果然有别样的风景.首先鄙视一下AFNetworking.这个东西实在太难用了.不想封装都不行,要不写一大堆代码. NSURL *URL = [NSURL URLW ...

  5. 手机开发-Android

    Android 语言.JAVA 开发环境.一是JDKjava开发工具包,二是eclipse开发工具IDE,三是Android SDK安卓软件开发包,四是ADT Android开发工具把JDK和Andr ...

  6. java类与继承(转载)

    关于java的类与继承面链接是一个网友总结的,还有列子我个人觉得很详细 固拿来收藏,需要的朋友可从这里访问: http://www.cnblogs.com/dolphin0520/p/3803432. ...

  7. JDBC架构

    JDBC API支持两层和三层处理模型进行数据库访问,但在一般的JDBC体系结构由两层组成: JDBC API: 提供了应用程序对JDBC的管理连接. JDBC Driver API: 支持JDBC管 ...

  8. Java方法、构造方法的重载;创建对象;调用方法

    方法的重载 概念:多个同名但是不同参数的方法称为方法的重载 作用:编译器会根据调用时传递的实际参数自动判断具体调用的是哪个重载方法 特点:方法名相同:同一作用域:参数不同:数量不同 类型不同 顺序不同 ...

  9. PAT甲级 1122. Hamiltonian Cycle (25)

    1122. Hamiltonian Cycle (25) 时间限制 300 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Yue The ...

  10. 数据压缩之经典——哈夫曼编码(Huffman)

    (笔记图片截图自课程Image and video processing: From Mars to Hollywood with a stop at the hospital的教学视频,使用时请注意 ...