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GO Classes DPP | ML | NEURAL NETWORK

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Consider a neural network with the number of neurons in different layers as mentioned in the below list for a regression task. The first layer is the input layer and the last is the output layer.

$$
[5,5,4,3,1]
$$


What will be an appropriate activation function for the output layer?

  1. SIGMOID
     
  2. LINEAR
     
  3. RELU
     
  4. TANH

1 Answer

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Sigmoid is used for binary classification at the output layer.

ReLU is mostly used at the hidden layers. (It does not make sense to be used at the output layer.)
Same goes for tanh

Linear is an appropriate activation function for the output layer in a regression problem. Typically, this is just the identity function; that is, $g(z)=z$.
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