Practice Key Terms (10.5.1) - Introduction to Neural Networks

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6 sample questions

Question 1.
What is a neuron in a neural network?
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Think about how a biological neuron functions.
Question 2.
Define 'weight' in the context of neural networks.
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Consider how different inputs may have different effects.
3Question 3.
What is the function of a neuron in a neural network?
- To store data
- To process inputs and produce outputs
- To create a database
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Consider what work neurons do in the network.
4Question 4.
True or False: Weight is the parameter that adjusts the output alongside the bias.
- True
- False
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Think about weights and biases and their roles.
Question 5.
Design a basic neural network architecture for an image recognition task. Describe how you would implement weights and biases in the model.
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Think about how processing and learning occur in neural networks.
Question 6.
Explain the role of activation functions in preventing issues like vanishing gradients in deep networks, comparing at least two different types.
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Consider how different functions react to increasing input values.

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