DLAV Lecture 3: Data Loss and Regularization
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Questions and Answers

What is the main idea behind Occam's Razor?

  • Among competing hypotheses, the simplest is the best (correct)
  • The most complex model is the best
  • Models with more parameters are better
  • _models should always be overfitting

What is the purpose of regularization in machine learning models?

  • To prevent overfitting and make the model simpler (correct)
  • To increase the training data size
  • To make the model more robust to outliers
  • To increase the complexity of the model

What is the common value of the probability of dropping in dropout regularization?

  • 0.9
  • 0.1
  • 0.2
  • 0.5 (correct)

What is the type of regularization that corresponds to MAP inference using a Gaussian prior on W?

<p>L2 regularization (B)</p> Signup and view all the answers

What is the purpose of the hyperparameter in L2 regularization?

<p>To control the regularization strength (B)</p> Signup and view all the answers

What is the type of regularization that combines both L1 and L2 regularization?

<p>Elastic net regularization (B)</p> Signup and view all the answers

What is the primary reason for using an activation function in a neural network?

<p>To introduce non-linearity in the neural network (A)</p> Signup and view all the answers

What is the main advantage of using a deep representation learning approach?

<p>It reduces the need for feature engineering (B)</p> Signup and view all the answers

What is the primary purpose of the W2 matrix in the 2-layer neural network equation F = W2max(0,W1x)?

<p>To output the final scores for the classes (A)</p> Signup and view all the answers

What is the main challenge in designing a neural network architecture?

<p>Selecting the optimal hyperparameters (B)</p> Signup and view all the answers

What is the primary difference between a 2-layer and a 3-layer neural network?

<p>The number of hidden layers (A)</p> Signup and view all the answers

What is the effect of multiplying the weights by a constant factor in a linear classifier?

<p>The loss function will remain unchanged (D)</p> Signup and view all the answers

What is the primary purpose of regularization techniques in neural networks?

<p>To reduce the risk of overfitting (D)</p> Signup and view all the answers

What is the main objective of regularization techniques in machine learning?

<p>To prevent the model from overfitting (D)</p> Signup and view all the answers

What is the underlying principle of Occam's Razor in machine learning?

<p>The model with the simplest architecture is preferred (B)</p> Signup and view all the answers

What is the primary principle behind Occam's Razor in the context of neural networks?

<p>The model with the least complexity is always the best (A)</p> Signup and view all the answers

What is the effect of L1 regularization on the model's weights?

<p>The weights are pushed towards zero (C)</p> Signup and view all the answers

What is the Elastic Net regularization technique?

<p>A combination of L1 and L2 regularization (B)</p> Signup and view all the answers

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