Question

Which one of the Functions always maps the values between 0 and 1? Such as logit, RELU, tanh, sigmoid

Answer 1

The value between 0 and 1 in deep learning is always mapped by the activation function.

Explanation:

• It is also known as a transfer function. The thing function used to find the node's output is called the activation function.
• The determination of networks like yes and no is the main usage of this function.
• The resulting value between 0 and 1 or -1 to 1 is also planned by it.
• The Non-Linear Activation Function and Linear Activation Function are the two types of the activation function.
• Non-Linear is mostly used activation function.

Learn more about it.

Which one of the functions always maps the values between 0 and 1 in deep learning

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Answer 2

Sigmoid  Function

Explanation:

• Sigmoid function is a type of activation function, and the function curve looks like shape of S
• Sigmoidal functions are often used in machine learning, particularly  in the testing of artificial neural networks (ANN), as a way of understanding the output of a node/neuron.  
• The reason sigmoid function is used is because it exists between the values/range 0-1. Hence, it is mainly used for models where probability as an output needs to be predicted. As probability of anything exists between the range/values of 0 and 1, sigmoid function is the correct choice.
• A sigmoidal function determines the output - this output would  be used as the input for the subsequent node. This process repeat till the solution to the original (real) problem is found.

To know more

If g(z) is the sigmoid function, then its derivative with respect to z may ...

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