Answer / Satyendra Tripathi

RNNs have various applications, such as language modeling, speech recognition, handwriting recognition, and time series forecasting. They excel in tasks that require understanding sequences or patterns over time.

Explain Generative Adversarial Network.

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How are nns related to statistical methods?

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

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 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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What are cases and variables?

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How neural networks became a universal function approximators?

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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?

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How many kinds of kohonen networks exist?

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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

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What is a neural network and what are some advantages and disadvantages of such a network?

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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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What are combination, activation, error, and objective functions?

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