Why Should One Stop Gradient Checking Once It Is Done Before #602
Why should one stop gradient checking once it is done before running the network for entire set of training iterations?
This multiple choice question (MCQ) is related to the book/course gs gs126 Neural Networks. It can also be found in gs gs126 Neural Networks - Gradient Checking - Quiz No.1.
Why should one stop gradient checking once it is done before running the network for entire set of training iterations?
Because it would increase the speed of training process
Because it would change the output of the training process
Because it would slow down the speed of training process
Because it would nullify the output
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