query: What is the validation data for the neural network?
positive_passages.docid: 25763
positive_passages.text: What is the difference between test set and validation set?
negative_passages.docid: 145932
negative_passages.text: What does "degree of freedom" mean in neural networks?
negative_passages.docid: 5304
negative_passages.text: Cross validation with test data set
negative_passages.docid: 6629
negative_passages.text: Find Neural Network Inputs Given Outputs
negative_passages.docid: 49535
negative_passages.text: Deep learning : How do I know which variables are important?
negative_passages.docid: 94250
negative_passages.text: Comprehensive list of activation functions in neural networks with pros/cons
negative_passages.docid: 145300
negative_passages.text: A list of cost functions used in neural networks, alongside applications
negative_passages.docid: 93969
negative_passages.text: Is it possible to learn a neural networks for a constant target?
negative_passages.docid: 8439
negative_passages.text: How to choose the number of hidden layers and nodes in a feedforward neural network?
negative_passages.docid: 38075
negative_passages.text: What is the trade-off between batch size and number of iterations to train a neural network?
negative_passages.docid: 14605
negative_passages.text: Why use gradient descent with neural networks?
negative_passages.docid: 126055
negative_passages.text: Using the validation data
negative_passages.docid: 134322
negative_passages.text: How to encode categorical variables for neural networks
negative_passages.docid: 110124
negative_passages.text: When does decision tree perform better than the neural network?
negative_passages.docid: 34513
negative_passages.text: Identifiability of neural network models
negative_passages.docid: 16503
negative_passages.text: is there any diffrence to use nonlinear or liner activation function in single hidden layer network
negative_passages.docid: 114914
negative_passages.text: Bad performance with ReLU activation function on MNIST data set