What does the analogy “AI is the new electricity” refer to?

AI runs on computers and is thus powered by electricity, but it is letting computers do things not possible before.

AI is powering personal devices in our homes and offices, similar to electricity.

Similar to electricity starting about 100 years ago, AI is transforming multiple industries.

Through the “smart grid”, AI is delivering a new wave of electricity.

Explanation :

Yes. AI is transforming many fields from the car industry to agriculture to supply-chain...

Which of these is NOT a reason for Deep Learning recently taking off?

Deep learning has resulted in significant improvements in important applications such as online advertising, speech recognition, and image recognition.

Explanation :
```
Neural network science is decades old.
```

Recall this diagram of iterating over different ML ideas. Which of the statements below is false?
deep learning

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.

Recent progress in deep learning algorithms has allowed us to train good models faster (even without changing the CPU/GPU hardware).

Explanation :
```
Its not faster.
```

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?

Explanation :

Yes. Finding the characteristics of a model is key to have good performance. Although experience can help, it requires multiple iterations to build a good model.

Which one of these plots represents a ReLU activation function?
deep learning

Explanation :

Correct! This is the ReLU activation function, the most used in neural networks.

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

Explanation :

Yes. Images for cat recognition is an example of “unstructured” data.

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?

Explanation :

A demographic dataset with statistics on different cities' population, GDP per capita, economic growth is an example of “structured” data by opposition to image, audio or text datasets.

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

It is strictly more powerful than a Convolutional Neural Network (CNN).

Explanation :

We can train it on many pairs of sentences x (English) and y (French).

Assuming the trends described in the below figure are accurate (and hoping you got the axis labels right), which of the following are true?
deep learning

Decreasing the size of a neural network 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.

Explanation :

According to the trends in the figure above, big networks usually perform better than small networks.

UPSCFEVER - POPULAR PAGES