What can you do with an nn and what not?

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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 the advantage of pooling layer in convolutional neural networks?

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Explain Generative Adversarial Network.

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What are cases and variables?

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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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. Why are linearly separable problems of interest of neural network researchers? a) Because they are the only class of problem that network can solve successfully b) Because they are the only class of problem that Perceptron can solve successfully c) Because they are the only mathematical functions that are continue d) Because they are the only mathematical functions you can draw

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

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Why use artificial neural networks? What are its advantages?

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How artificial neurons learns?

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Are neural networks helpful in medicine?

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List some commercial practical applications of artificial neural networks?

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