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Data Interview Question

Single-Layer Neural Networks and Logistic Regression

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Requirements Clarification & Assessment

  • Understanding the Question: The question asks for a comparison between a single-layer neural network with one input and output and logistic regression, focusing on differences and similarities.
  • Assumptions:
    • The neural network uses a sigmoid function as its activation function.
    • The term "single-layer" implies one hidden layer.
    • The neural network and logistic regression are both used for binary classification tasks.
  • Objective: Identify key differences and similarities, ensuring a clear understanding of how each model functions and under what conditions they may be equivalent.
  • Constraints:
    • Focus on theoretical and functional aspects rather than implementation details.
    • Consider the simplicity and complexity of each model.