Part 1: Fundamentals of Neural Networks and CNN Basics
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Questions and Answers

What does ANN stand for?

  • Artificial Numerical Network
  • Advanced Neural Network
  • Artificial Neural Network (correct)
  • Automated Neural Network
  • Which function is commonly used as an activation function in neural networks for introducing non-linearity?

  • Linear
  • Sigmoid
  • Tanh
  • Both B and C (correct)
  • What is the primary purpose of pooling layers in a CNN?

  • Increasing model complexity
  • Reducing spatial dimensions (correct)
  • Adding non-linearity
  • Controlling overfitting
  • In a CNN, what does the term "stride" refer to in the context of convolutional layers?

    <p>The amount of overlap between neighboring regions</p> Signup and view all the answers

    What is the primary role of the activation layer in a CNN?

    <p>Applying non-linear transformations to the input</p> Signup and view all the answers

    Why do CNNs use parameter sharing in convolutional layers?

    <p>To make the network translation invariant</p> Signup and view all the answers

    What is the primary advantage of CNNs over fully connected networks?

    <p>Parameter sharing</p> Signup and view all the answers

    What is the purpose of dropout layers in a CNN?

    <p>To prevent overfitting</p> Signup and view all the answers

    Which layer type is responsible for reducing the size of feature maps through downsampling in a CNN?

    <p>Pooling Layer</p> Signup and view all the answers

    What is the primary benefit of using an activation function like ReLU in CNNs?

    <p>It introduces non-linearity</p> Signup and view all the answers

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