Which of the following statements is false: a) The chances of overfitting decrease with Increasing the number of hidden nodes and increasing the number of hidden layers. b) A neural network with one hidden layer can represent any Boolean function given sufficient number of hidden units and appropriate activation functions. c) Two hidden layer neural networks can represent any continuous functions (within a tolerance) as long as the number of hidden units is sufficient and appropriate activation functions used.
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Explanation:
neural network with one hidden layer can represent any Boolean function given sufficient number of hidden units and
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