Advantages of Artificial Neural Networks in the Era of Big Data
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Questions and Answers

What is the primary intuition behind the Perceptron Learning Rule?

  • Increment weights for inputs that are 1 if the output is low (correct)
  • Decrement weights for inputs that are 0 if the output is high
  • Decrement weights for inputs that are 1 if the output is high
  • Increment weights for inputs that are 0 if the output is low

    • According to the Perceptron convergence theorem, what happens if the data set is NOT linearly separable?

  • Algorithm stops after a certain number of steps (correct)
  • Infinite oscillation occurs
  • Guaranteed solution in a finite number of steps
  • The weights are set to zero

    • What type of data set guarantees finding a solution in a finite number of steps using the Perceptron learning rule?

  • Linearly separable (correct)
  • Randomly distributed
  • Oscillating
  • Non-linearly separable

    • What is the primary difference between single-layer perceptron and multilayer perceptron (MLP)?

    <p>MLP can handle non-linearly separable patterns while single-layer perceptron cannot</p> Signup and view all the answers

    In a multilayer feed-forward neural network, what is the role of the hidden layers?

    <p>Perform feature extraction</p> Signup and view all the answers

    What type of Learning does a Multilayer Perceptron (MLP) primarily use?

    <p><strong>Supervised</strong>, which can also be used for unsupervised learning</p> Signup and view all the answers

    Which factor has contributed significantly to the increase in the amount of data created in recent years?

    <p>Boost in GPU performance</p> Signup and view all the answers

    According to prominent figures in the tech industry, what is the potential impact of a breakthrough in machine learning?

    <p>Equal in value to ten Microsofts</p> Signup and view all the answers

    Which component of an artificial neuron is responsible for introducing non-linearity in the model?

    <p>Activation function</p> Signup and view all the answers

    Which technology has seen a significant boost in performance over the past few years, contributing to advancements in machine learning?

    <p>GPU</p> Signup and view all the answers

    Which of the following is not a common application of machine learning?

    <p>Computer graphics</p> Signup and view all the answers

    Which breakthrough technology has been compared to the significance of the Internet?

    <p>Machine Learning</p> Signup and view all the answers

    What is the main focus of the second part of the machine learning course?

    <p>Neural networks</p> Signup and view all the answers

    What is the role of synapses in the context of neurons?

    <p>They connect neurons and propagate electrical impulses</p> Signup and view all the answers

    What percentage of the brain is composed of gray matter?

    <p>40%</p> Signup and view all the answers

    Which of the following is NOT a topic discussed in the first part of the machine learning course?

    <p>Neural networks</p> Signup and view all the answers

    Which of the following is NOT a reason for focusing on neural networks in the second part of the course?

    <p>They are easy to understand and implement</p> Signup and view all the answers

    What is the main purpose of the first part of the machine learning course?

    <p>To cover the basics of popular machine learning algorithms</p> Signup and view all the answers

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