Part 2: Neural Network Architecture and Mathematics Fundamentals
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Questions and Answers

What is the perceptron?

  • A type of artificial neuron (correct)
  • A programming language
  • A scientific instrument
  • A historical figure in AI

What is the role of weights and matrices in neural networks?

  • Controlling the physical weight of the neural network
  • Adjusting the speed of neural connections
  • Representing data points and connections between neurons (correct)
  • Assigning numerical values to biological neurons

How is the neural network used to make predictions based on input data?

  • By guessing the output
  • By adjusting the input data
  • By applying mathematical operations based on weights and matrices (correct)
  • By ignoring the input data

Why is basic algebra important in Artificial Neural Networks (ANNs)?

<p>Algebra helps in understanding the structure of neural networks (B)</p> Signup and view all the answers

In the context of ANNs, how are vectors used?

<p>As a special case of matrices to represent data points and weights (B)</p> Signup and view all the answers

Why is there a transition from 1D to 2D, 3D, and 4D matrices in the context of ANNs?

<p>Different dimensions allow for more complex data representation (C)</p> Signup and view all the answers

What is the role of Numpy in matrix operations in the context of ANNs?

<p>Numpy simplifies and accelerates matrix operations (C)</p> Signup and view all the answers

In the context of the course, what is the purpose of "Slicing" in data tables?

<p>Dividing data tables into smaller subsets (B)</p> Signup and view all the answers

How does matrix transposition affect the dimensions of the original matrix?

<p>It switches the rows and columns, reversing the dimensions (B)</p> Signup and view all the answers

In what scenarios might higher-dimensional matrices be beneficial in ANNs?

<p>Higher dimensions allow for more complex data representation in certain applications (C)</p> Signup and view all the answers

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