Practice Artificial Neural Network (ann) (8.1.2) - Neural Network

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6 sample questions

Question 1.
What is an ANN?
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Think of how the brain processes information.
Question 2.
Name one activation function used in ANNs.
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It squashes outputs between 0 and 1.
3Question 3.
What does an artificial neural network (ANN) do?
- It simulates biological neural behavior
- It only functions as a calculator
- It stores data indefinitely
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Consider what it means to 'simulate' in this context.
4Question 4.
True or False: ANNs can learn from data without any human intervention.
- True
- False
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Think about the concept of machine learning.
Question 5.
Design an ANN architecture for a simple classification problem. Outline the number of layers, their types, and the number of neurons in each layer.
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Remember that deeper networks can capture more patterns but need adequate training data.
Question 6.
Discuss how overfitting can be prevented in a neural network. Include strategies that modify weights and network complexity.
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Consider the balance between model complexity and training data size.

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