
unit 2 quiz 2
Authored by Steffy P
Computers
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a neural network, knowing the weight and bias of each neuron is the most important step. If you can somehow get the correct value of weight and bias for each neuron, you can approximate any function. What would be the best way to approach this?
Assign random values and pray to God they are correct
Search every possible combination of weights and biases till you get the best value
Iteratively check that after assigning a value how far you are from the best values, and slightly change the assigned values values to make them better
None of these
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the steps for using a gradient descent algorithm?
Calculate error between the actual value and the predicted value
Reiterate until you find the best weights of network
Pass an input through the network and get values from output layer
Initialize random weight and bias
Go to each neurons which contributes to the error and change its respective values to reduce the error
1, 2, 3, 4, 5
5, 4, 3, 2, 1
3, 2, 1, 5, 4
4, 3, 1, 5, 2
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