. 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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How does ill-conditioning affect nn training?

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What is artificial intelligence neural networks?

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Describe the structure of artificial neural networks?

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What learning rate should be used for backprop?

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What is simple artificial neuron?

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Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

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

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How are nns related to statistical methods?

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How does an LSTM network work?

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