Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

BCS Exam AIF Topic 3 Question 42 Discussion

Actual exam question for BCS's BCS Foundation Certificate In Artificial Intelligence exam
Question #: 42
Topic #: 3
[All BCS Foundation Certificate In Artificial Intelligence Questions]

What function is used in a Neural Network?

Show Suggested Answer Hide Answer
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 Salena at Jul 16, 2024, 08:32 AM

Limited Time Offer

25%

Off

Get Premium AIF Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Lyla
10 days ago
Haha, D. Trigonometric. Because who doesn't love a little sine and cosine in their neural networks?
upvoted 0 times
...
Gerald
12 days ago
B, Activation, no doubt. Gotta have those fun, non-linear functions to get those neurons firing!
upvoted 0 times
...
Wai
13 days ago
Definitely B. Activation functions are the secret sauce that make neural networks work their magic.
upvoted 0 times
...
Fabiola
22 days ago
Hmm, I'd go with B. Activation functions are the real MVPs of neural nets, transforming those raw inputs into something meaningful.
upvoted 0 times
...
Micaela
25 days ago
I believe it's B) Activation because it introduces non-linearity to the network.
upvoted 0 times
...
Daniel
28 days ago
I'm not sure, but I think it might be A) Linear.
upvoted 0 times
...
Tiffiny
1 months ago
I'm pretty sure it's B, Activation. That's the one that lets the network make sense of all the inputs.
upvoted 0 times
Alesia
6 days ago
C) Statistical might be used for analyzing data within the network.
upvoted 0 times
...
Annice
16 days ago
I think A) Linear is also important for certain calculations in the network.
upvoted 0 times
...
Keneth
23 days ago
I agree, B) Activation is crucial for the neural network to process inputs.
upvoted 0 times
...
...
Allene
1 months ago
Activation functions are the heart of neural networks, like the beating pulse that brings them to life!
upvoted 0 times
Jannette
9 days ago
B) Activation.
upvoted 0 times
...
Keena
23 days ago
A) Linear.
upvoted 0 times
...
Frank
25 days ago
C) Statistical.
upvoted 0 times
...
Iraida
1 months ago
B) Activation.
upvoted 0 times
...
Teddy
1 months ago
A) Linear.
upvoted 0 times
...
...
Luisa
2 months ago
I agree with Oneida, Activation function is crucial for Neural Networks.
upvoted 0 times
...
Oneida
2 months ago
I think the answer is B) Activation.
upvoted 0 times
...

Save Cancel