Neural Networks and Deep learning week1 Introduction to deep learning

查看别人的见解违法coursera的荣誉准则，里面的测试题都是一些基本概念，看懂和做对是两码事，英文还是多看看吧，

What does the analogy "Al is the new electricity" refer to?

• Al is powering personal devices in our homes and offices, similar to electricity.
• Similar to electricity starting about 100 years ago, Al is transforming multiple industries.
• Al runs on computers and is thus powered by electricity, but it is letting computers do things not possible before.
• Through the "smart grid", Al is delivering a new wave of electricity.

正如100年前一样，ai对多领域产生了冲击

Which of these are reasons for Deep Learning recently taking off? (Check the three options that apply.)

• We have access to a lot more computational power.
• We have access to a lot more data.
• Neural Networks are a brand new field.
• Deep learning has resulted in significant improvements in important applications such as online advertising, speechrecognition, and image recognition.

为什么深度学习进来发展迅速，算力，数据，算法和应用提升迅猛

Recall this diagram of iterating over different ML ideas. Which of the statements below are true? (Check all that apply.)

• Being able to try out ideas quickly allows deep learning engineers to iterate more quickly.
• Faster computation can help speed up how long a team takes to iterate to a good idea.
• lt is faster to train on a big dataset than a small dataset.
• Recent progress in deep learning algorithms has allowed us to train good models faster(even without changing theCPU/GPU hardware).

图提示了什么，想法快速迭代，快速算法加速实现结果

When an experienced deep learning engineer works on a new problem, they can usually use insight from previous problems to train a good model on the first try, without needing to iterate multiple times through different models. True/False?

False

对一个新问题，只能重建，（艹，那人类文明怎么发展起来的，我们是站在巨人的肩膀上）

Which one of these plots represents a ReLU activation function?

Images for cat recognition is an example of “structured” data, because it is represented as a structured array in a computer. True/False?

False

非结构化   可否通过excel/数据库获取

A demographic dataset with statistics on different cities' population, GDP per capita, economic growth is an example of “unstructured” data because it contains data coming from different sources. True/False?

False

结构化 可否通过excel/数据库获取

Why is an RNN (Recurrent Neural Network) used for machine translation, say translating English to French? (Check all that apply.)

• It can be trained as a supervised learning problem.
• It is strictly more powerful than a Convolutional Neural Network (CNN).
• It is applicable when the input/output is a sequence (e.g., a sequence of words).
• RNNs represent the recurrent process of Idea->Code->Experiment->Idea->....

RNN递归，变监督，针对序列

In this diagram which we hand-drew in lecture, what do the horizontal axis (x-axis) and vertical axis (y-axis) represent?

 

• x-axis is the amount of data
• y-axis is the size of the model you train.
•  
• x-axis is the input to the algorithm
• y-axis is outputs.
•  
• x-axis is the performance of the algorithm
• y-axis (vertical axis) is the amount of data.
•  
• x-axis is the amount of data
• y-axis (vertical axis) is the performance of the algorithm.

看图说话，x数据量，y性能，线规模

Assuming the trends described in the previous question's figure are accurate (and hoping you got the axis labels right), which of the following are true? (Check all that apply.)

• Decreasing the size of a neural network generally does not hurt an algorithm’s performance, and it may help significantly.
• Increasing the training set size generally does not hurt an algorithm’s performance, and it may help significantly.
• Decreasing the training set size generally does not hurt an algorithm’s performance, and it may help significantly.
• Increasing the size of a neural network generally does not hurt an algorithm’s performance, and it may help significantly.

看图说话，理论上，数据越多越好，规模越大越好  PS实际，看看你的计算机性能