It’s time to put what you’ve learned to the test, get 8 questions right to pass this week.
1.
What does the conversation with the chatbot Mitsuku show us?
There are two correct answers.
2.
What does training an artificial neural network mean in the case of supervised learning?
Choose the correct answer.
3.
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?
Choose the correct answer.
4.
What does the Turing test check?
Choose the correct answer.
5.
How does an adversarial attack on an AI system work?
Choose the correct answer.
6.
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.
7.
What does classification refer to in the context of supervised learning?
Choose the correct answer.
8.
What does explainability mean in the context of an AI system?