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In order to get good results when implementing deep learning, one needs to prepare his data before using it. What action should be done during this preparation?
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What is the missing word in the following sentence: Overfitting is the production of a model that corresponds too closely to the training data set and may therefore fail to fit other data sets and so fail to perform any reliable forecast.4
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The validation set is used to provide frequent and unbiased evaluations of the model’s fit on the training set while tuning its hyperparameters/parameters: in other words,the model is found and then tested on the validation set before to be improved once again.5
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How to handle missing data in a given training data set ?4
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