Medium
How to handle missing data in a given training data set ? (which of the following method(s) can be used)
- 1 expected answer
Edit
0
Community EvaluationsNo one has reviewed this question yet, be the first!
1
Which neural network type is the best for image processing?1
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.1
In order to get good results when implementing deep learning, one needs to prepare his data before using it. What action **CAN** be done during this preparation?6
Given a neural network with 4 inputs, how many connections could exist between the input layer and the first hidden layer?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.1
Which of the following processes are machine learning ones but not particularly related to deep learning?