Deep Learning and Sequential Data
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Questions and Answers

What is the primary goal of deep learning?

  • Clustering
  • Dimensionality Reduction
  • Feature Learning (correct)
  • Regression
  • Which neural network architecture is suitable for image classification tasks?

  • MLP
  • CNN (correct)
  • RNN
  • All of the above
  • What is the purpose of pooling layers in CNNs?

  • Introducing non-linearity
  • Increasing model complexity
  • Reducing spatial dimensions (correct)
  • Handling sequential data
  • Which activation function is commonly used in hidden layers of neural networks?

    <p>ReLU (Rectified Linear Unit)</p> Signup and view all the answers

    What does RNN stand for in the context of neural networks?

    <p>Recurrent Neural Network</p> Signup and view all the answers

    Which neural network architecture is well-suited for processing sequential data?

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

    In an MLP, what is the purpose of the output layer?

    <p>Prediction or classification</p> Signup and view all the answers

    What is the key advantage of using convolutional layers in CNNs for image processing?

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

    Which neural network architecture is typically used for time-series prediction or natural language processing?

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

    What is the purpose of the softmax activation function in the output layer of a neural network for multi-class classification?

    <p>Normalizing the output to probability scores</p> Signup and view all the answers

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