Which of the following is true for batch normalization (BatchNorm)? Mark the ones which are correct (there may be multiple correct answers; mark them all). 1. BatchNorm speeds up the training process since it mitigates the exploding gradient problem. 2. BatchNorm uses a different mean and variance for each sample at test time. 3. BatchNorm, when applied to ConvNets, computes a different mean for each neuron, based on the samples of the given minibatch. 4. BatchNorm computes a different mean and variance for each mini-batch at training time. 5. BatchNorm slows down the training process since it mitigates the vanishing gradient problem.

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A: Find the required answers with reason given as below :

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A: the examples are given below :

Use of XOR function

XOR function or exclusive OR function was introduced in Excel 2013. This function is available under excel logical functions. For the given statement, the XOR function will return true only when either of the statements is true. It returns false when both the statements are true or when both the statements are false.