Home>IT Tests>Questions>In deep learning, 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.
Question from the Deep learning - Fundamentals test
In deep learning, 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.
Easy
Also known as the dev data set (or dev set), the ____ 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 ___ set before to be improved once again.
What is the missing word?
Author: MartinStatus: PublishedQuestion passed 632 times
Edit
Similar QuestionsMore questions about Deep learning
12
What is the relation between Artificial intelligence (AI), machine learning and deep learning?9
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.6
Given a neural network with 4 inputs, how many connections could exist between the input layer and the first hidden layer?1
Which neural network type is the best for image processing?1
Which of the following processes are machine learning ones but not particularly related to deep learning?