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Is Rectified Linear Unit a good activation function?

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  • Is Rectified Linear Unit a good activation function?
  • What are your thoughts on using Rectified Linear Unit as an activation function compared to other activation functions?
  • Do you believe Rectified Linear Unit is the best activation function to use in deep learning models?
  • In your opinion, how does Rectified Linear Unit perform as an activation function?
  • Could you discuss the advantages and disadvantages of using Rectified Linear Unit as an activation function?
  • How does Rectified Linear Unit compare to other popular activation functions in terms of model performance?
  • What is your experience with using Rectified Linear Unit as an activation function and its impact on model accuracy?
  • When working on deep learning models, how do you decide whether to use Rectified Linear Unit or another activation function?
  • Can you provide examples of scenarios where Rectified Linear Unit may not be the best activation function to use?
  • In your experience, have you found Rectified Linear Unit to be a reliable activation function for various deep learning tasks?
  • Can you provide some insights on the effectiveness of Rectified Linear Unit as an activation function?

Interview question asked to Data Scientists interviewing at Netflix, Juul Labs, Ironclad and others: Is Rectified Linear Unit a good activation function?.