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How artificial neurons learns?
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A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001
What are neural networks and how do they relate to ai?
What is simple artificial neuron?
How neural networks became a universal function approximators?
Why use artificial neural networks? What are its advantages?
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
How are nns related to statistical methods?
How many kinds of nns exist?
What are the disadvantages of artificial neural networks?
Who is concerned with nns?
What are combination, activation, error, and objective functions?
What is the advantage of pooling layer in convolutional neural networks?
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