MC questions
Intro + Responsibility
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📝 Artificial Intelligence aims…
- To use intelligent machines to simulate human thinking.
- To replace humans.
- To use machines to reduce our dependence on intelligent decision makers.
- To understand, design and build intelligent machines
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📝 The main difference between regression and classification is:
- regression cannot be done with neural networks
- regression is unsupervised while classification is supervised learning
- targets of a classification problem are discrete, while regression targets are continuous
- there is no difference, apart from the name.
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📝 What is the goal of most computational intelligence techniques?
- To more practically optimize the transfer function than brute force search,
- To recast the search for intelligence as optimization.
- To use exhaustive search to find intelligent decision-making techniques.
- To design intelligent computational devices.
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Maths
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MLPs
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Which of the following statements about the learning rule of a perceptron is false:
- The bigger the error, the bigger the weight update.
- The bigger the output, the bigger the weight update.
- The bigger the input, the bigger the weight update.
- The bigger the learning rate, the bigger the weight update.
Which of the following statements about the learning rule of a perceptron is false:
- Training a binary classification task is guaranteed to converge if the two classes are linearly separable.
- A single perceptron cannot learn the XOR function.
- A single perceptron has
|x| number of weights, with |x| for the number of inputs.
- A single perceptron can be trained with backpropagation.
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