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Machine Learning Quizzes
Feedforward Network / Multi-layer Perceptron Quiz (Easy 2)
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- Question 1 of 11
1. Question
What is the primary difference between a single-layer perceptron and a multi-layer perceptron (MLP)?
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2. Question
In an MLP, what is the role of the activation function?
CorrectIncorrect - Question 3 of 11
3. Question
What is the primary limitation of simple FNNs when dealing with sequential data, such as time series or natural language?
CorrectIncorrect - Question 4 of 11
4. Question
How is the learning rate typically adjusted during the training of an MLP?
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5. Question
In feed forward networks, which method helps in updating the weights of neurons based on the error of the prediction?
CorrectIncorrect - Question 6 of 11
6. Question
What role does the Softmax function play in a feed forward neural network used for classification tasks?
CorrectIncorrect - Question 7 of 11
7. Question
What is the primary disadvantage of deep MLPs with a large number of hidden layers?
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8. Question
How can the problem of vanishing gradients in deep MLPs with many hidden layers be mitigated?
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9. Question
Which activation function is known for addressing the vanishing gradient problem and is commonly used in deep MLPs?
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10. Question
In an MLP used for binary classification, which activation function is commonly used in the output layer?
CorrectIncorrect - Question 11 of 11
11. Question
What is the primary advantage of using ReLU (Rectified Linear Unit) activation functions in MLPs?
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