Knowledge quiz

It's time to put what you've learned to the test, get 8 right to pass this week.

What does classification refer to in the context of supervised learning?

Choose the correct answer.

Assigning a label or category to data according to its characteristics

Identifying the key characteristics of certain classes

Extracting the characteristics of data

Extracting data from features

A neural network has 5 inputs, two hidden layers and 4 outputs. If this network is used for classification, how many classes can you distinguish?

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Consider the following calculation for the output of an artificial neuron: 1 x 0.2 + 0 x 0.7 + (-2) x 2 + 5 x 0.5 + 5 = 3.7. What is the bias of the neuron?

Choose the correct answer.

0.5

-2

3.7

What does training an artificial neural network mean in the case of supervised learning?

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Automatically finding fitting weights and biases that model the relationship between input and output

Automatically finding the best activation function

Automatically determining the best number of neurons in each layer

Automatically determining the best labels to use for assignment

What does the conversation with the chatbot Mitsuku show us?

There are two correct answers.

Mitsuku can take the previous chat history into account.

Mitsuku suggests she understands by asking counter-questions.

Mitsuku can answer even complex mathematical questions.

Mitsuku builds logic to respond to new problems as well.

What is strong AI?

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Software that covers the entire spectrum of human cognitive abilities

Software that solves problems faster than humans

Computers with artificial intelligence and very low power consumption

Software that is trained by machine learning

What does the Turing test check?

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Whether a computer demonstrates intelligent behavior

Whether a computer-generated voice sounds realistic

How many human characteristics a computer demonstrates

What the latency of a chat system with artificial intelligence is

What does explainability mean in the context of an AI system?

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For a particular decision, the key influencing factors are shown.

Criteria are shown for all decisions.

The system visualizes the structure of the corresponding neural network to the user.

Users interact with a chatbot that tells the customer that it is sorry.

How does an adversarial attack on an AI system work?

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The input is minimally modified until it is classified differently by the AI system.

The AI is retrained with differently labeled data.

Stop signs are laminated in such a way that cameras can no longer see the sign.

All labels are deleted from the training data.