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BCS Exam AIF Topic 3 Question 40 Discussion

Actual exam question for BCS's AIF exam
Question #: 40
Topic #: 3
[All AIF Questions]

What function is used in a Neural Network?

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Suggested Answer: B

Activation Functions

Anactivation functionin a neural network defines how the weighted sum of the input is transformed into an output from a node or nodes in a layer of the network.

https://machinelearningmastery.com/choose-an-activation-function-for-deep-learning/#:~:text=An%20activation%20function%20in%20a,a%20layer%20of%20the%20network.

An activation function is a mathematical function used in a neural network to determine the output of a neuron. Activation functions are used to transform the inputs into an output signal and can range from simple linear functions to complex non-linear functions. Activation functions are an important part of neural networks and help the network learn patterns and generalize data. Types of activation functions include sigmoid, ReLU, tanh, and softmax. References: BCS Foundation Certificate In Artificial Intelligence Study Guide,https://bcs.org/certifications/foundation-certificates/artificial-intelligence/


by Rima at Jul 02, 2024, 10:45 AM

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Junita
1 years ago
I'm feeling a bit neuron-al today, so I'll go with B. Activation functions all the way!
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Christa
11 months ago
I agree, B) Activation is crucial for introducing non-linearity in the network.
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Vallie
11 months ago
I think A) Linear is also important for some calculations.
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Rasheeda
11 months ago
I prefer B) Activation too, it's essential for neural networks.
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Ellsworth
11 months ago
I'm not sure about C) Statistical, do you think it's used in neural networks?
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Leslie
11 months ago
I think A) Linear is also important for neural networks.
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Brandon
12 months ago
I prefer B) Activation too, it's essential for neural networks.
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Viola
1 years ago
I believe the correct answer is B) Activation because it introduces non-linearity to the network.
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Colby
1 years ago
B, baby! Activation functions are where the magic happens. Can I get a neural 'woot woot'?
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Stephane
1 years ago
Neural networks? More like neural nightmares! I'll go with D just to mess with the curve.
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Onita
12 months ago
I'm going with A) Linear for this one.
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Tricia
12 months ago
I think B) Activation is the correct answer.
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Rolf
1 years ago
I'm not sure, but I think it's either A) Linear or B) Activation.
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Kandis
1 years ago
I agree with Malinda, Activation function is commonly used in Neural Networks.
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Rory
1 years ago
I'm going with C. Statistical functions sound like they'd be perfect for neural network analysis.
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Janae
12 months ago
I agree with you, C) Statistical functions could definitely be useful in neural network analysis.
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Jina
1 years ago
I think B) Activation functions are more commonly used in Neural Networks.
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Malinda
1 years ago
I think the answer is B) Activation.
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Lynelle
1 years ago
Definitely B. Activation functions are the heart and soul of neural networks!
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Mona
1 years ago
Yes, without activation functions, neural networks wouldn't be able to learn complex patterns.
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Brittani
1 years ago
I agree, activation functions are crucial for neural networks.
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