deeplearning exam

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Computer Science - Artificial Intelligence

mmoranwkf Created by 7 mon ago

Cards in this deck(13)

When should you use LIME, counterfactual explanations, or Shapley values in machine learning?

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What is the primary use of the sigmoid function in machine learning?

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What is a limitation of using linear activation functions in neural networks?

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What is the role of Shapley values in machine learning?

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What is the formula for binary cross-entropy loss in machine learning?

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What does 'DL' stand for, and how is it positioned within ML and AI?

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What factors have contributed to the popularity of deep learning?

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What is the role of matrices in the architecture of Recurrent Neural Networks (RNNs)?

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Which applications are best suited for Recurrent Neural Networks (RNNs)?

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What are the key components of a Convolutional Neural Network (CNN)?

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How does ancestral sampling work in Bayesian Networks?

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How do L1 LASSO, L2 Ridge, and Dropout Ensemble regularization techniques work?

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What is the fundamental difference between Variational Autoencoders (VAEs) and Autoencoders (AEs)?

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