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 Specialization! This form is here to help you find the answers to the commonly asked questions. We will update it as we receive new questions that we think are important for all learners.

General Questions

Q: I have an idea that would improve the course content. What can I do? A: Contact us at feedback@deeplearning.ai or put it in the forum "New ideas for the course". We are happy to collaborate with learners willing to improve the course! Thanks a lot.

Q: I cannot submit my assignment? A: This issue should not be happening but if it does please let us know immediately. One temporary work around would be to download your notebook and go to the corresponding programming assignment tab ==> + Create Submission and upload it.

Q: The audio in the videos is quite bad sometimes, muffled or low volume. Please fix it. A: You can mitigate the audio issues by turning down the bass and up the treble if you have those controls, or using a headset, which naturally emphasizes the higher frequencies. Also you may want to switch on the English closed captioning. Of course, we are working everyday to improve the quality of the videos and avoid anything that can affect your learning.

Q: What does it mean when I see “Math Processing Error?” A: The page is attempting to use MathJax to render math symbols. Sometimes the content delivery network can be sluggish or you have caught the web page Ajax javascript code in an incomplete state. Normally just refreshing the page to make it load fully fixes the problem.

Q: The video quality is bad? A: You could click the settings option in the video and upgrade the quality to High. (recommended if you have a good internet connection)

Q: Is there a prerequisite for this course? A: Students are expected to have the following background:

• Very basic programming skills (i.e. ability to work with dictionaries and for loops)

• Familiarity with basic machine learning (how do we represent a dataset as a matrix, etc.).

• Familiarity with the basic linear algebra (matrix multiplications, vector operations etc.).

Q: Why do we have to use Python? A: Python is an open-source language, anyone can use it from anywhere in the world. It is widely used in academics (research labs) or in the industry. It has a useful library "Numpy" that makes math operations very easy. Python has several deep learning frameworks running on top of it (Tensorflow, Keras, PaddlePaddle, CNTK, Caffe, ...) and you are going to learn some of them. It is also easy to learn. Furthermore, we believe Python has a good future, as the community is really active and builds amazing stuff.

Q: Has anyone figured out the how to solve this problem? Here is my code [Insert code]. A: This is a violation of the Coursera Honor Code.

Q: I've submitted correct answers for [insert problem]. However I would like to compare my implementation with other who did correctly. A: This is a violation of the Coursera Honor Code.

Q: This is my email: [insert email]. Can we get the answer for the quiz? A: This is a violation of the Coursera Honor Code.

Q: Do I receive a certificate once I complete this course? A: Course Certificate is available in this course.

Q: What is the correct technique of entering a numeric answer to a text box question ? A: Coursera's software for numeric answers only supports '.' as the decimal delimiter (not ',') and require that fractions be simplified to decimals. For answers with many decimal digits, please use a 2 digits after decimal point rounding method when entering solutions if not mentioned in the question.

Q: What is the correct technique of entering a 1 element matrix ? A: They should be entered as just the element without brackets.

Q: What does a A being a 3 element vector or a 3 dimensional vector mean? A: If not described a vector as mentioned in the questions is

Q: I think I found an error in a video. What should I do? A: First, post it on the Errata forum. We will try to implement your feedback as soon as possible. You could also send us an email at feedback@deeplearning.ai.

Q: My quiz grade displayed is wrong or I have a verification issue or I cannot retake a quiz. What should I do? A: Contact learner support. These queries can only be resolved by learner support and it is best if they are contacted directly. Do not flag such issues.

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常见问题解答

恭喜你成为深度学习专业第一期的一员!这张表格是来帮助你找到常见问题的答案的。我们将更新它, 因为我们收到新的问题, 我们认为是重要的所有学习者。

一般问题

问: 我有一个想法, 可以改善课程内容。我能做什么？答: 联系我们在 feedback@deeplearning.ai feedback@deeplearning 或把它在论坛 "新的想法为路线"。我们乐于与学习者合作, 愿意改进课程!多谢。

问: 我不能提交我的作业？答: 这个问题不应该发生, 但如果有, 请立即通知我们。一个临时的工作将是下载您的笔记本, 然后转到相应的编程分配选项卡 == 创建提交并上传它。

问: 视频中的音频有时是相当糟糕的, 低沉或低音量。请修复它。答: 您可以通过关闭低音和高音来缓解音频问题, 如果您有这些控制, 或使用耳机, 这自然强调了更高的频率。此外, 您可能需要打开英文字幕。当然, 我们每天都在努力提高视频的质量, 避免任何影响你学习的事情。

问: 当我看到 "数学处理错误" 是什么意思？答: 该页试图使用 MathJax 来呈现数学符号。有时, 内容传递网络可能很慢, 或者您已经在不完整的状态下捕获了网页 Ajax javascript 代码。通常只是刷新页面, 使其加载完全解决问题。

问: 视频质量不好吗？答: 您可以单击视频中的 "设置" 选项, 并将质量提升到 "高"。(推荐如果您有一个好互联网连接)

问: 这门课有一个先决条件吗？答: 学生应具备以下背景:

非常基本的编程技能 (即使用字典和循环的能力)

熟悉基本机器学习 (如何将数据集表示为矩阵等)。

熟悉基本线性代数 (矩阵乘法, 向量运算等)。

问: 为什么我们必须使用 Python？答: Python 是一种开源语言, 任何人都可以在世界任何地方使用它。它广泛应用于学术界 (研究实验室) 或行业。它有一个有用的库 "Numpy", 使数学运算非常容易。Python 有几个深层次的学习框架在上面运行 (Tensorflow, Keras, PaddlePaddle, CNTK, Caffe,.....。学习也很容易。此外, 我们相信 Python 有一个良好的未来, 因为社区是真正活跃的, 并建立惊人的东西。

问: 有人想出解决这个问题的方法了吗？这是我的代码 [插入代码]。答: 这违反了 Coursera 的荣誉代码。

问: 我已经提交了 [插入问题] 的正确答案。不过, 我想把我的实现与其他谁做的正确的比较。答: 这违反了 Coursera 的荣誉代码。

问: 这是我的电子邮件: [插入电子邮件]。我们能得到测验的答案吗？答: 这违反了 Coursera 的荣誉代码。

问: 我完成本课程后是否收到证书？答: 课程证书在本课程中提供。

问: 对文本框问题输入数字答案的正确方法是什么？答: Coursera 的数字答案软件只支持 "." 作为小数点分隔符 (不是 ","), 并要求将分数简化为小数。对于有许多十进制数字的答案, 在输入解决方案时, 如果在问题中没有提到, 请在小数点舍入后使用2位数字。

问: 输入1元素矩阵的正确方法是什么？答: 它们应该只作为没有括号的元素输入。

问: A是一个3元向量或者3维向量是什么意思？答: 如果没有特别说明， 。

问: 我想我在视频中发现了一个错误。我该怎么办？答: 首先, 将其张贴在勘误表论坛上。我们将尽快实施您的反馈。您也可以向我们发送电子邮件在 feedback@deeplearning.ai feedback@deeplearning。

问: 我的测验成绩显示是错误的, 或者我有一个验证问题, 或者我不能重考。我该怎么办？答: 联系学习者支持。这些查询只能由学习者支持解决, 如果直接与他们联系是最好的。不要标记此类问题。