AI Neural Networks Interview Questions
Questions Answers Views Company eMail

 Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise

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Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions

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A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say

1 6479

The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function

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Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded d) False – just having a single perceptron is enough

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The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron

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 Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned

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What is a Neural Network?

840

What is the role of activation functions in a Neural Network?

744

What is the difference between a Feedforward Neural Network and Recurrent Neural Network?

877

What are the applications of a Recurrent Neural Network (RNN)?

803

How are weights initialized in a network?

673

What is Pooling in CNN and how does it work?

761

Explain Generative Adversarial Network.

721

What are the different layers in CNN?

833


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Un-Answered Questions { AI Neural Networks }

How artificial neurons learns?

709


Why use artificial neural networks? What are its advantages?

708


What is backprop?

698


What is simple artificial neuron?

792


What are artificial neural networks?

713






I need a MATLAB source code to recognize different regular geometric shapes such as: squares,rectangles,triangles,circles and ellipses in different sizes using neural network. All of the images containing these shapes should be in binary format with the size of 300*400 pixels. would you please give me a MATLAB code to detect these geometric shapes?

4162


Explain neural networks?

747


How to avoid overflow in the logistic function?

770


What are neural networks? What are the types of neural networks?

776


How neural networks became a universal function approximators?

722


How does an LSTM network work?

728


what are some advantages and disadvantages of neural network?

693


How artificial neural networks can be applied in future?

690


What are neural networks and how do they relate to ai?

762


What are the population, sample, training set, design set, validation set, and test set?

661