Practice Working Of A Neural Network (10.3) - Introduction to Neural Networks

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6 sample questions

Question 1.
What is the purpose of the input layer in a neural network?
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What do you think is the first step for a neural network?
Question 2.
What does the weighted sum represent?
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Think about how inputs are assessed together.
3Question 3.
What is the first step in the working of a neural network?
- Output Layer
- Weighted Sum
- Input Layer
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Where does the data enter the system?
4Question 4.
True or False: The weighted sum is calculated before applying bias.
- True
- False
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Think about the sequence of operations.
Question 5.
Given an input vector of [20, 10, 30] with weights of [0.2, 0.5, 0.3] and a bias of 2, calculate the final output if the activation function used is ReLU.
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Don’t forget to apply the activation function to the resulting sum of weighted inputs.
Question 6.
Discuss the implications of using a non-linear activation function versus a linear one in a deep neural network.
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Think about what non-linear functions enable in terms of data interpretation.

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