Deep Learning Quiz

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

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שאלה #17333

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

מיין לפי

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

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שאלה #17334

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

מיין לפי

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

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שאלה #17335

		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.
		It 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 the CPU/GPU hardware).

Note: A bigger dataset generally requires more time to train on a same model.

מיין לפי

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?

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שאלה #17336

		True
		False

Note: Maybe some experience may help, but nobody can always find the best model or hyperparameters without iterations.

מיין לפי

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

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שאלה #17337

		True
		False

מיין לפי

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?

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שאלה #17338

		True
		False

מיין לפי

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

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שאלה #17339

		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->....

מיין לפי

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.)

1

שאלה #17340

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

מיין לפי

What does a neuron compute?

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שאלה #17341

		A neuron computes an activation function followed by a linear function (z = Wx + b)
		A neuron computes a linear function (z = Wx + b) followed by an activation function
		A neuron computes a function g that scales the input x linearly (Wx + b)
		A neuron computes the mean of all features before applying the output to an activation function

Note: The output of a neuron is a = g(Wx + b) where g is the activation function (sigmoid, tanh, ReLU, ...).

מיין לפי

The tanh activation usually works better than sigmoid activation function for hidden units because the mean of its output is closer to zero, and so it centers the data better for the next layer. True/False?

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שאלה #17342

		True
		False

מיין לפי

Deep Learning Quiz

Discuss, Learn and be Happy דיון בשאלות

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

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

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

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?

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

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?

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

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.)

What does a neuron compute?

The tanh activation usually works better than sigmoid activation function for hidden units because the mean of its output is closer to zero, and so it centers the data better for the next layer. True/False?

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