Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Bias Ter

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Information Technology (IT), Architecture
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
How do different authors define the total number of layers in a neural network?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of the bias term in a neural network?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the concept of a hyperplane in the context of neural networks.
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
What happens to the hyperplane if the bias term is not included?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the architecture of a fully connected feedforward neural network.
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What are hyperparameters in the context of deep neural networks?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
How can one train a neural network given a dataset?
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