Why Should One Stop Gradient Checking Once It Is Done Before #517
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 gs127 SQLite.
It can also be found in
gs gs127 Neural Networks in Machine Learning - 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
