COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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A function which helps the model decide which outputs to keep, and which to drop
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A function which activates the neural nodes of a layer
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A function which measures how accurate a model is
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A function which improves the performance of a model
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Detailed explanation-1: -An activation function is the function in an artificial neuron that delivers an output based on inputs. Activation functions in artificial neurons are an important part of the role that the artificial neurons play in modern artificial neural networks.
Detailed explanation-2: -(1) The activation functions are used to define the output of a node given the input.
Detailed explanation-3: -The ReLU is the most used activation function in the world right now.Since, it is used in almost all the convolutional neural networks or deep learning.
Detailed explanation-4: -The activation function defines the output of a neuron / node given an input or set of input (output of multiple neurons). It’s the mimic of the stimulation of a biological neuron.