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What is a Neural Network?
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How does ill-conditioning affect nn training?
What are neural networks? What are the types of neural networks?
What are cases and variables?
What is a neural network and what are some advantages and disadvantages of such a network?
Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned
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
List some commercial practical applications of artificial neural networks?
How many kinds of kohonen networks exist?
How many kinds of nns exist?
what are some advantages and disadvantages of neural network?
How does an LSTM network work?
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
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