How are artificial neural networks different from normal computers?
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Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
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.
Neuro software is: a) A software used to analyze neurons b) It is powerful and easy neural network c) Designed to aid experts in real world d) It is software used by Neuro surgeon
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What are the population, sample, training set, design set, validation set, and test set?
Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
What are neural networks? What are the types of neural networks?
What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn. d) None of the mentioned
How are layers counted?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
What are conjugate gradients, levenberg-marquardt, etc.?
Are neural networks helpful in medicine?
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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