COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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sigmoid
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Hyperbolic Tangent
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ReLU
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cos(x)
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Detailed explanation-1: -In Deep learning, a neural network without an activation function is just a linear regression model as these functions actually do the non-linear computations to the input of a neural network making it capable to learn and perform more complex tasks.
Detailed explanation-2: -Hence, Beta is not an activation function.
Detailed explanation-3: -What is a Neural Network Activation Function? An Activation Function decides whether a neuron should be activated or not. This means that it will decide whether the neuron’s input to the network is important or not in the process of prediction using simpler mathematical operations.
Detailed explanation-4: -Sinc function is a sinusoidal activation function in neural networks. In contrast to other common activation functions, it has rises and falls. However, the function saturated and its output converges to zero for large positive and negative inputs. The definition of the function is sine x over x.