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Deep Learning Interview Questions and Answers

Question - What are activation functions?

Answer -

Activation functions are entities in Deep Learning that are used to translate inputs into a usable output parameter. It is a function that decides if a neuron needs activation or not by calculating the weighted sum on it with the bias.

Using an activation function makes the model output to be non-linear. There are many types of activation functions:

  • ReLU
  • Softmax
  • Sigmoid
  • Linear
  • Tanh

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