Practice Feedforward Neural Network (8.4.1) - Neural Network

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6 sample questions

Question 1.
What is a Feedforward Neural Network?
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Think about how the data moves through the network.
Question 2.
Which functions introduce non-linearity in FNNs?
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These functions change the output of a neuron.
3Question 3.
In a Feedforward Neural Network, data flows:
- In loops
- One direction
- In two directions
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Remember the definition of 'feedforward'.
4Question 4.
True or False: A Feedforward Neural Network can contain loops.
- True
- False
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Think about the structure of the network.
Question 5.
Design a Feedforward Neural Network for multi-class classification. Specify the number of layers, types of activation functions, and the rationale behind your choices.
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Consider the number of classes when deciding on the output layer.
Question 6.
Discuss the potential impact of overfitting in a Feedforward Neural Network and how you might mitigate this issue.
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Think of ways to ensure the model generalizes well.

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